CN107431495B - Digital predistortion correction method and device - Google Patents

Abstract

The invention discloses a digital predistortion correction method and device, and belongs to the field of communication. The method comprises the following steps: determining a preselected input signal dynamic linear model adjustment factor in an amplifier model according to a preselected input signal, wherein the preselected input signal is at least two signals in a preset input signal set; determining a dynamic nonlinear model adjustment factor of a preselected input signal in an amplifier model according to the preselected input signal; establishing a current input signal amplifier model according to the dynamic linear model adjustment factor of the preselected input signal and the dynamic nonlinear model adjustment factor of the preselected input signal; obtaining a DPD model of the current input signal according to the amplifier model of the current input signal; and carrying out digital predistortion correction on the current input signal according to the DPD model. The invention solves the problems of more complex model parameter acquisition process and lower modeling efficiency, realizes the effects of simplifying the acquisition process of the model parameters and improving the correction efficiency, and is used for predistortion correction.

Description

Digital predistortion correction method and device

technical field

The present invention relates to the field of communications, in particular to a digital predistortion correction method and device.

Background technique

A power amplifier is an important component of a transmission device in a communication system. In communication systems, in order to meet the transmission requirements, power amplifiers need to maintain high linearity while operating at high efficiency, and efficiency and linearity are often contradictory in the design of power amplifiers. Digital Pre-Distortion (English: Digital Pre-Distortion; DPD for short) technology is a key technology for compensating for nonlinear characteristics of power amplifiers. This technology establishes a DPD model according to the characteristics of the power amplifier, and performs predistortion processing on the current input signal in the digital domain, so that the processed predistortion signal can cancel the nonlinear characteristics of the power amplifier itself after entering the power amplifier. With the help of DPD technology, the power amplifier can not only work in a high-efficiency state, but also meet the index requirements in terms of linearity.

In practical applications, the power of the output signal of the power amplifier is often adjusted dynamically in real time with the change of the traffic volume, and the change of the power of the output signal is often accompanied by the change of the characteristics of the power amplifier. In the existing DPD technology, the nonlinear correction in the scenario of dynamic change of the output signal power is often realized by establishing a look-up table model related to the power value. The look-up table model stores the corresponding relationship between the model parameters of the preset DPD model and the power value in the table. When the current input signal needs to be predistorted, the corresponding model can be found first according to the power value of the current input signal. parameter, the DPD model corresponding to the current input signal is determined according to the acquired model parameters, and the pre-distortion correction is performed on the current input signal according to the DPD model.

However, since the look-up table model needs to calculate and store the model parameters of the DPD model covering a sufficient power range in order to meet the correction requirements of different input signals, the amount of data to be calculated and stored is very large. Therefore, the acquisition process of model parameters is complicated and the correction efficiency is low.

SUMMARY OF THE INVENTION

In order to solve the problems of complicated acquisition process of model parameters and low correction efficiency, the present invention provides a digital predistortion correction method and device. The technical solution is as follows:

In a first aspect, a digital predistortion correction method is provided, the method comprising:

The adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model is determined according to the preselected input signal, and the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal, and the dynamic model Including a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate a linear characteristic in the variable of the input signal, the dynamic nonlinear model is used to indicate the nonlinear characteristic in the variable of the input signal, the The preselected input signals are at least two signals in a preset input signal group, and the preset input signal group includes a plurality of input signals with different power values;

determining an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal;

establishing an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal;

obtaining a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal;

Digital pre-distortion correction is performed on the current input signal according to the DPD model of the current input signal.

With reference to the first aspect, in a first implementation manner, the amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal ,include:

和动态模型的模型系数

所述放大器模型公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the model coefficient of the static model of the current input signal is determined by using an amplifier model formula

and the model coefficients of the dynamic model

The amplifier model formula is:

表示所述预设输入信号组的输出信号组，所述

表示所述预设输入信号组的静态模型，所述

表示所述预设输入信号组的动态模型，所述

表示所述预设输入信号组的动态线性模型，所述

表示所述预设输入信号组的动态非线性模型，所述

表示所述预设输入信号组的动态线性模型的调整因子，所述

表示所述预设输入信号组的动态非线性模型的调整因子；Wherein, the N represents the number of sampling points of each input signal in the preset input signal group, the L1 represents the number of model coefficients of the static model, and the L2 represents the model coefficients of the dynamic model The number of , the r represents the power level of the input signals in the preset input signal group, the r is an integer greater than or equal to 1, the

represents the output signal group of the preset input signal group, the

represents the static model of the preset set of input signals, the

represents the dynamic model of the preset input signal group, the

represents the dynamic linear model of the preset set of input signals, the

represents the dynamic nonlinear model of the preset set of input signals, the

represents the adjustment factor of the dynamic linear model of the preset input signal group, the

an adjustment factor representing the dynamic nonlinear model of the preset input signal group;

和动态模型的模型系数代入所述放大器模型公式，建立所述当前输入信号对应的得到所述当前输入信号对应的放大器模型。will be based on the model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model Substitute the amplifier model formula to establish the amplifier model corresponding to the current input signal to obtain the amplifier model corresponding to the current input signal.

Combined with the first achievable way, in the second achievable way,

包括：According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, an amplifier model formula is used to determine the model coefficient of the static model of the current input signal and the model coefficients of the dynamic model

include:

determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal;

determining the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal;

The adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group are determined by substituting into the amplifier model formula to obtain the preset input signal group. The model coefficients of the static model and the model coefficients of the dynamic model of the preset input signal group;

Taking the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal Taking the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

In combination with the second achievable manner, in the third achievable manner, the preselected input signal is the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group,

The determining the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal includes:

determining the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula;

determining the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula;

The linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。Wherein, the θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and the i represents the power amount of the first input signal level or the power level of the second input signal, the θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal.

Combined with the third achievable way, in the fourth achievable way,

The dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.

In combination with the third achievable manner, in the fifth achievable manner,

The determining the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal includes:

The parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal is determined according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

表示所述预选输入信号的动态非线性特性参数的参数值，所述x⁽ⁱ⁾(n)表示所述预选输入信号的信号值，所述y⁽ⁱ⁾(n)表示所述预选输入信号对应的输出信号；Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, the x ⁽ⁱ⁾ (n) representing a signal value of the preselected input signal, and the y ⁽ⁱ⁾ (n) representing the preselected input signal corresponding output signal;

The adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:

表示所述第一输入信号的动态非线性特性参数的参数值。Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.

In combination with the fifth achievable manner, in the sixth achievable manner,

The determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal includes:

所述第一插值公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula is:

表示所述第一输入信号的动态线性模型的调整因子，所述

表示所述第二输入信号的动态线性模型的调整因子，所述w^(r)表示权重因子，所述权重因子w^(r)根据权重公式确定得到，所述权重公式为：Wherein, the r indicates that the power level of the input signals in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal, and the

represents the adjustment factor of the dynamic linear model of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the second input signal, the w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, the P _r represents the power value of the input signal whose power magnitude is r, and the P _M represents the power value of the first input signal whose power magnitude is M;

The determining the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal includes:

所述第二插值公式为：According to the adjustment factor of the dynamic nonlinear model of the preselected input signal, the second interpolation formula is used to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group

The second interpolation formula is:

表示所述第一输入信号的动态非线性模型的调整因子，所述

表示所述第二输入信号的动态非线性模型的调整因子，所述w^(r)表示权重因子。Among them, the

represents the adjustment factor of the dynamic nonlinear model of the first input signal, the

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and the w ^(r) represents the weighting factor.

With reference to any one of the first aspect to the sixth achievable manner, in a seventh achievable manner, after the digital pre-distortion correction is performed on the current input signal according to the DPD model, the method Also includes:

When the state of the power amplifier changes, the DPD model of the current input signal is updated to obtain an updated amplifier model.

In combination with the seventh achievable manner, in the eighth achievable manner,

The state change of the power amplifier is device aging, temperature fluctuation or bias voltage change.

In combination with the seventh or eighth implementation manner, in a ninth implementation manner, the updated amplifier model obtained by updating the amplifier model of the current input signal includes:

obtaining model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal;

obtaining model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal;

The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model.

In combination with the ninth achievable manner, in the tenth achievable manner,

The obtaining of the model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal includes:

taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference;

The sum of the model coefficient of the dynamic model of the current input signal and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model.

In combination with the ninth achievable manner, in the eleventh achievable manner,

The obtaining of the model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal includes:

Taking the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference;

The sum of the model coefficient of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model.

In a second aspect, a digital predistortion correction device is provided, and the digital predistortion correction device includes:

a first determination unit, configured to determine an adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, where the amplifier model is used to indicate the static model of the output signal and the input signal, and the dynamic model of the input signal The dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristic in the variable of the input signal, and the dynamic nonlinear model is used to indicate the variable of the input signal. The non-linear characteristic of the preselected input signal is at least two signals in a preset input signal group, and the preset input signal group includes a plurality of input signals with different power values;

a second determining unit, configured to determine, according to the preselected input signal, an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model;

a establishing unit, configured to establish an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal;

a processing unit, configured to obtain a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal;

A correction unit, configured to perform digital pre-distortion correction on the current input signal according to the DPD model of the current input signal.

With reference to the second aspect, in a first achievable manner, the establishing unit includes:

和动态模型的模型系数

所述放大器模型公式为：a first determination module, configured to use an amplifier model formula to determine the model of the static model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal coefficient

and the model coefficients of the dynamic model

The amplifier model formula is:

表示所述预设输入信号组的输出信号组，所述

表示所述预设输入信号组的静态模型，所述

表示所述预设输入信号组的动态模型，所述

表示所述预设输入信号组的动态线性模型，所述

表示所述预设输入信号组的动态非线性模型，所述

表示所述预设输入信号组的动态线性模型的调整因子，所述

表示所述预设输入信号组的动态非线性模型的调整因子；Wherein, the N represents the number of sampling points of each input signal in the preset input signal group, the L1 represents the number of model coefficients of the static model, and the L2 represents the model coefficients of the dynamic model The number of , the r represents the power level of the input signals in the preset input signal group, the r is an integer greater than or equal to 1, the

represents the output signal group of the preset input signal group, the

represents the static model of the preset set of input signals, the

represents the dynamic model of the preset input signal group, the

represents the dynamic linear model of the preset set of input signals, the

represents the dynamic nonlinear model of the preset set of input signals, the

represents the adjustment factor of the dynamic linear model of the preset input signal group, the

an adjustment factor representing the dynamic nonlinear model of the preset input signal group;

和动态模型的模型系数代入所述放大器模型公式，得到所述当前输入信号对应的放大器模型。The first substitution module is used to convert the model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model Substitute the amplifier model formula to obtain the amplifier model corresponding to the current input signal.

In combination with the first implementable manner, in the second implementable manner, the first determining module includes:

a first determination submodule, configured to determine the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal;

a second determination submodule, configured to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal;

Substitute into a sub-module for substituting the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain the preset input The model coefficients of the static model of the signal group and the model coefficients of the dynamic model of the preset input signal group;

将所述预设输入信号组的动态模型的模型系数作为所述当前输入信号的动态模型的模型系数 a first processing sub-module, configured to use the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal

Taking the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

In combination with the second achievable manner, in the third achievable manner, the preselected input signal is the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group, so The first determining unit includes:

a second determination module, configured to determine the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula;

a third determination module, configured to determine the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula;

The linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。Wherein, the θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and the i represents the power amount of the first input signal level or the power level of the second input signal, the θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal.

Combined with the third achievable way, in the fourth achievable way,

The dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.

In combination with the third achievable manner, in the fifth achievable manner,

The second determining unit includes:

The fourth determination module is configured to determine the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

表示所述预选输入信号的动态非线性特性参数的参数值，所述x⁽ⁱ⁾(n)表示所述预选输入信号的信号值，所述y⁽ⁱ⁾(n)表示所述预选输入信号对应的输出信号；Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, the x ⁽ⁱ⁾ (n) representing a signal value of the preselected input signal, and the y ⁽ⁱ⁾ (n) representing the preselected input signal corresponding output signal;

a fifth determination module, configured to determine the adjustment factor of the dynamic nonlinear model of the preselected input signal according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula for:

表示所述第一输入信号的动态非线性特性参数的参数值。Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.

In combination with the fifth achievable manner, in the sixth achievable manner,

所述第一插值公式为：The first determination sub-module is specifically configured to: determine the adjustment factor of the dynamic linear model of the preset input signal group by adopting the first interpolation formula according to the adjustment factor of the dynamic linear model of the preselected input signal

The first interpolation formula is:

表示所述第一输入信号的动态线性模型的调整因子，所述

表示所述第二输入信号的动态线性模型的调整因子，所述w^(r)表示权重因子，所述权重因子w^(r)根据权重公式确定得到，所述权重公式为：Wherein, the r indicates that the power level of the input signals in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal, and the

represents the adjustment factor of the dynamic linear model of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the second input signal, the w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, the P _r represents the power value of the input signal whose power magnitude is r, and the P _M represents the power value of the first input signal whose power magnitude is M;

所述第二插值公式为：The second determination sub-module is specifically configured to: determine the adjustment factor of the dynamic nonlinear model of the preset input signal group by adopting the second interpolation formula according to the adjustment factor of the dynamic nonlinear model of the preset input signal

The second interpolation formula is:

表示所述第一输入信号的动态非线性模型的调整因子，所述

表示所述第二输入信号的动态非线性模型的调整因子，所述w^(r)表示权重因子。Among them, the

represents the adjustment factor of the dynamic nonlinear model of the first input signal, the

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and the w ^(r) represents the weighting factor.

With reference to any one of the second aspect to the sixth implementable manner, in a seventh implementable manner, the digital predistortion correction apparatus further includes:

An update unit, configured to update the amplifier model of the current input signal to obtain an updated amplifier model when the state of the power amplifier changes.

In combination with the seventh achievable manner, in the eighth achievable manner,

The state change of the power amplifier is device aging, temperature fluctuation or bias voltage change.

In combination with the seventh or eighth implementable manner, in a ninth implementable manner, the update unit includes:

a first obtaining module, configured to obtain model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal;

a second obtaining module, configured to obtain model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal;

The second substituting module is configured to substitute the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model to obtain the updated amplifier model.

With reference to the ninth implementation manner, in the tenth implementation manner, the first acquisition module includes:

a first difference sub-module, configured to use the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference;

The second processing sub-module is configured to use the sum of the model coefficient of the dynamic model of the current input signal and the first difference as the model coefficient of the dynamic model of the updated amplifier model.

With reference to the ninth implementation manner, in the eleventh implementation manner, the second acquisition module includes:

a second difference sub-module, configured to use the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference;

The third processing sub-module is configured to use the sum of the model coefficient of the static model of the current input signal and the second difference as the model coefficient of the static model of the updated amplifier model.

In a third aspect, a digital predistortion correction device is provided, and the digital predistortion correction device includes:

a processor, configured to determine an adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, where the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal , the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristics in the variable of the input signal, and the dynamic nonlinear model is used to indicate the non-linear characteristic in the variable of the input signal Linear characteristic, the preselected input signal is at least two signals in a preset input signal group, and the preset input signal group includes a plurality of input signals with different power values;

The processor is further configured to determine an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal;

The processor is further configured to establish an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal;

The processor is further configured to obtain a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal;

The processor is further configured to perform digital pre-distortion correction on the current input signal according to the DPD model of the current input signal.

With reference to the third aspect, in a first possible implementation manner, the processor is specifically configured to:

所述放大器模型公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the model coefficient of the static model of the current input signal is determined by using an amplifier model formula and the model coefficients of the dynamic model

The amplifier model formula is:

表示所述预设输入信号组的输出信号组，所述

表示所述预设输入信号组的静态模型，所述

表示所述预设输入信号组的动态模型，所述

表示所述预设输入信号组的动态线性模型，所述表示所述预设输入信号组的动态非线性模型，所述表示所述预设输入信号组的动态线性模型的调整因子，所述

表示所述预设输入信号组的动态非线性模型的调整因子；Wherein, the N represents the number of sampling points of each input signal in the preset input signal group, the L1 represents the number of model coefficients of the static model, and the L2 represents the model coefficients of the dynamic model The number of , the r represents the power level of the input signals in the preset input signal group, the r is an integer greater than or equal to 1, the

represents the output signal group of the preset input signal group, the

represents the static model of the preset set of input signals, the

represents the dynamic model of the preset input signal group, the

represents the dynamic linear model of the preset set of input signals, the represents the dynamic nonlinear model of the preset set of input signals, the represents the adjustment factor of the dynamic linear model of the preset input signal group, the

an adjustment factor representing the dynamic nonlinear model of the preset input signal group;

和动态模型的模型系数

代入所述放大器模型公式，得到所述当前输入信号对应的放大器模型。The model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model

Substitute the amplifier model formula to obtain the amplifier model corresponding to the current input signal.

Combined with the first achievable way, in the second achievable way,

The processor is specifically used for:

determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal;

determining the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal;

Substitute the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain an equation of the static model of the preset input signal group. model coefficients and model coefficients of the dynamic model of the preset input signal set;

将所述预设输入信号组的动态模型的模型系数作为所述当前输入信号的动态模型的模型系数

Taking the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal

Taking the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

In combination with the second achievable manner, in the third achievable manner, the preselected input signal is the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group, so The processor is specifically used to:

determining the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula;

determining the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula;

The linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。Wherein, the θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and the i represents the power amount of the first input signal level or the power level of the second input signal, the θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal.

Combined with the third achievable way, in the fourth achievable way,

The dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.

In combination with the third achievable manner, in the fifth achievable manner,

The processor is specifically used for:

The parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal is determined according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

表示所述预选输入信号的动态非线性特性参数的参数值，所述x⁽ⁱ⁾(n)表示所述预选输入信号的信号值，所述y⁽ⁱ⁾(n)表示所述预选输入信号对应的输出信号；Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, the x ⁽ⁱ⁾ (n) representing a signal value of the preselected input signal, and the y ⁽ⁱ⁾ (n) representing the preselected input signal corresponding output signal;

The adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:

表示所述第一输入信号的动态非线性特性参数的参数值。Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.

In combination with the fifth achievable manner, in the sixth achievable manner,

The processor is specifically used for:

所述第一插值公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula is:

表示所述第一输入信号的动态线性模型的调整因子，所述

表示所述第二输入信号的动态线性模型的调整因子，所述w^(r)表示权重因子，所述权重因子w^(r)根据权重公式确定得到，所述权重公式为：Wherein, the r indicates that the power level of the input signals in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal, and the

represents the adjustment factor of the dynamic linear model of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the second input signal, the w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, the P _r represents the power value of the input signal whose power magnitude is r, and the P _M represents the power value of the first input signal whose power magnitude is M;

所述第二插值公式为：The processor is further specifically configured to, according to the adjustment factor of the dynamic nonlinear model of the preselected input signal, use a second interpolation formula to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group

The second interpolation formula is:

表示所述第一输入信号的动态非线性模型的调整因子，所述

表示所述第二输入信号的动态非线性模型的调整因子，所述w^(r)表示权重因子。Among them, the

represents the adjustment factor of the dynamic nonlinear model of the first input signal, the

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and the w ^(r) represents the weighting factor.

With reference to any one of the third aspect to the sixth implementable manner, in a seventh implementable manner, the processor is further configured to:

When the state of the power amplifier changes, the amplifier model of the current input signal is updated to obtain an updated amplifier model.

In combination with the seventh achievable manner, in the eighth achievable manner,

The state change of the power amplifier is device aging, temperature fluctuation or bias voltage change.

With reference to the seventh or eighth implementation manner, in the ninth implementation manner, the processor is specifically used for:

obtaining model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal;

obtaining model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal;

The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model.

In combination with the ninth achievable manner, in the tenth achievable manner,

The processor is also specifically used for:

taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference;

The sum of the model coefficient of the dynamic model of the current input signal and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model.

In combination with the ninth achievable manner, in the eleventh achievable manner,

The processor is also specifically used for:

Taking the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference;

The sum of the model coefficient of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model.

The beneficial effects of the technical scheme provided by the present invention are:

The present invention provides a digital predistortion correction method and device, because the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model can be determined according to the preselected input signal, and then the adjustment factor of the dynamic linear model of the preselected input signal can be determined according to the preselected input signal. The adjustment factor of the dynamic linear model of the signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal establish the amplifier model of the current input signal, and then obtain the DPD model of the current input signal according to the amplifier model of the current input signal, and finally according to the DPD model. The input signal is subjected to digital predistortion correction. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range to meet different requirements. The correction requirement of the input signal, therefore, simplifies the acquisition process of the model parameters and improves the correction efficiency.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

Fig. 1 is the basic working principle diagram of the existing DPD technology that the embodiment of the present invention provides;

2 is a flowchart of a digital predistortion correction method provided by an embodiment of the present invention;

3 is a flowchart of another digital predistortion correction method provided by an embodiment of the present invention;

4 is a schematic diagram of an amplifier model provided by an embodiment of the present invention;

5 is a flowchart of a method for determining an adjustment factor of a dynamic linear model of a preselected input signal in an amplifier model according to a preselected input signal according to an embodiment of the present invention;

6 is a flowchart of a method for determining an adjustment factor of a dynamic nonlinear model of a preselected input signal in an amplifier model according to a preselected input signal according to an embodiment of the present invention;

7 is a schematic diagram of determining a model coefficient of a static model and a model coefficient of a dynamic model corresponding to a preselected input signal according to an embodiment of the present invention;

8 is a flowchart of a method for establishing an amplifier model of a current input signal according to an adjustment factor of a dynamic linear model of a preselected input signal and an adjustment factor of a dynamic nonlinear model of the preselected input signal provided by an embodiment of the present invention;

Fig. 9 is a kind of adjustment factor according to the dynamic linear model of the preselected input signal, the adjustment factor of the dynamic nonlinear model of the preselected input signal provided by the embodiment of the present invention, adopts the amplifier model formula to determine the model coefficient of the static model of the current input signal and Flow chart of the model coefficient method for dynamic models;

10 is a schematic diagram of determining the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model corresponding to any input signal that is not trained in the preset input signal group according to an embodiment of the present invention;

11 is a flowchart of a method for updating an amplifier model of a current input signal to obtain an updated amplifier model provided by an embodiment of the present invention;

12 is a flowchart of a method for obtaining model coefficients of a dynamic model of an updated amplifier model provided by an embodiment of the present invention;

13 is a flowchart of a method for obtaining model coefficients of a static model of an updated amplifier model provided by an embodiment of the present invention;

14 is a schematic diagram of model coefficient updating of an amplifier model provided by an embodiment of the present invention;

15 is a schematic structural diagram of a digital predistortion correction device provided by an embodiment of the present invention;

16 is a schematic structural diagram of another digital predistortion correction device provided by an embodiment of the present invention;

17 is a schematic structural diagram of a establishment unit of a digital predistortion correction device provided by an embodiment of the present invention;

18 is a schematic structural diagram of a first determination module of a digital predistortion correction device according to an embodiment of the present invention;

19 is a schematic structural diagram of a first determination unit of a digital predistortion correction device provided by an embodiment of the present invention;

20 is a schematic structural diagram of a second determination unit of a digital predistortion correction device provided by an embodiment of the present invention;

21 is a schematic structural diagram of an update unit of a digital predistortion correction device according to an embodiment of the present invention;

22 is a schematic structural diagram of a first acquisition module of a digital predistortion correction device according to an embodiment of the present invention;

23 is a schematic structural diagram of a second acquisition module of a digital predistortion correction device according to an embodiment of the present invention;

FIG. 24 is a schematic structural diagram of another digital predistortion correction apparatus provided by an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

DPD technology is a key technology to compensate the nonlinearity of the power amplifier in the digital domain, which can make the power amplifier work in a high-efficiency saturation state without losing linearity.

As shown in Figure 1, the basic working principle of DPD technology is: establish a DPD module 01 in the digital baseband, and pre-distort the input signal before entering the power amplifier (English: Power Amplifier; PA) 02. The DPD module 01 The model is the DPD model, and the PA02 model is the amplifier model. If the DPD model is the inverse function of the amplifier model, when the input signal passes through the cascaded DPD modules 01 and PA02, it will be linearly amplified, thus avoiding the input signal passing through. The output signal after PA02 is distorted. In Figure 1, the abscissa X represents the input power of the input signal, the ordinate Y represents the output power of the input signal, the first power curve from the left represents the power curve of the input signal, and the second power curve represents the power generated by the DPD module 01. The power curve of the predistorted signal, the third power curve shows the power curve of the output signal output from the PA02 after the input signal is predistorted corrected. It can be seen that the key problem of DPD technology is to establish an accurate but simple amplifier model: firstly, the amplifier model should be accurate, because the input signal can only be predistorted if the amplifier model is accurately established according to the characteristics of the power amplifier; secondly, the amplifier model should be accurate. The model should be simple enough, because a complex amplifier model will increase the cost and system complexity of the actual hardware implementation and cannot be widely used in practice.

An embodiment of the present invention provides a digital predistortion correction method, as shown in FIG. 2 , the method includes:

Step 101: Determine the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal. The amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal, and the dynamic model includes a dynamic model. Linear model and dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristic in the variable of the input signal, the dynamic nonlinear model is used to indicate the nonlinear characteristic in the variable of the input signal, and the preselected input signal is the preset input signal At least two signals in the group, the preset input signal group includes a plurality of input signals with different power values.

Step 102: Determine the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.

Step 103 , establishing an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.

Step 104: Obtain the DPD model of the current input signal according to the amplifier model of the current input signal.

Step 105: Perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.

To sum up, in the digital predistortion correction method provided by the embodiment of the present invention, the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model can be determined according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD model The model performs digital predistortion correction on the current input signal. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range. To meet the correction requirements of different input signals, the acquisition process of model parameters is simplified and the correction efficiency is improved.

Further, step 103 specifically includes:

和动态模型的模型系数

该放大器模型公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the model coefficient of the static model of the current input signal is determined by the amplifier model formula

and the model coefficients of the dynamic model

The amplifier model formula is:

表示预设输入信号组的输出信号组，

为N×1的矩阵，

表示预设输入信号组的静态模型，

为N×L1的矩阵，

表示预设输入信号组的动态模型，为N×L2的矩阵，

表示预设输入信号组的动态线性模型，

表示预设输入信号组的动态非线性模型，

表示预设输入信号组的动态线性模型的调整因子，

表示预设输入信号组的动态非线性模型的调整因子，

为L1×1的矩阵，

为L2×1的矩阵；将当前输入信号的静态模型的模型系数

和动态模型的模型系数

代入放大器模型公式，得到当前输入信号对应的放大器模型。Among them, N represents the number of sampling points of each input signal in the preset input signal group, L1 represents the number of model coefficients of the static model, L2 represents the number of model coefficients of the dynamic model, and r represents the preset input signal group. The power level of the input signal, r is an integer greater than or equal to 1,

represents the output signal group of the preset input signal group,

is an N×1 matrix,

a static model representing a preset set of input signals,

is an N×L1 matrix,

a dynamic model representing a preset set of input signals, is an N×L2 matrix,

represents a dynamic linear model of a preset set of input signals,

represents a dynamic nonlinear model of a preset set of input signals,

represents the adjustment factor of the dynamic linear model of the preset input signal group,

represents the adjustment factor of the dynamic nonlinear model of the preset input signal group,

is an L1×1 matrix,

is an L2×1 matrix; the model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model

Substitute into the amplifier model formula to obtain the amplifier model corresponding to the current input signal.

和动态模型的模型系数

包括：Wherein, according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the amplifier model formula is used to determine the model coefficient of the static model of the current input signal

and the model coefficients of the dynamic model

include:

将预设输入信号组的动态模型的模型系数作为当前输入信号的动态模型的模型系数 Determine the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal; determine the adjustment of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal factor; substitute the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain the model coefficients and preset parameters of the static model that determine the preset input signal group The model coefficients of the dynamic model of the input signal group; the model coefficients of the static model of the preset input signal group are taken as the model coefficients of the static model of the current input signal

Use the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

It should be noted that the preselected input signals are at least two signals in the preset input signal group. Taking the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group as an example, the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model is determined according to the preselected input signal, including:

Determine the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula; determine the first input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula The adjustment factor of the dynamic linear model of the two input signals, the linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。Wherein, θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and i represents the power level of the first input signal or the power level of the second input signal , θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal,

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal.

It should be noted that the dynamic linear characteristic parameter may be the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.

Correspondingly, the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model is determined according to the preselected input signal, including:

The parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal is determined according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula can be:

表示预选输入信号的动态非线性特性参数的参数值，x⁽ⁱ⁾(n)表示预选输入信号的信号值，y⁽ⁱ⁾(n)表示预选输入信号对应的输出信号，θ_i表示第一输入信号的动态线性特性参数的参数值或第二输入信号的动态线性特性参数的参数值。in,

represents the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal, x ⁽ⁱ⁾ (n) represents the signal value of the preselected input signal, y ⁽ⁱ⁾ (n) represents the output signal corresponding to the preselected input signal, θ _i represents the first The parameter value of the dynamic linear characteristic parameter of the input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal.

The adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula. The nonlinear adjustment factor formula is:

表示第一输入信号的动态非线性特性参数的参数值，表示预选输入信号的动态非线性特性参数的参数值，

表示第一输入信号的动态非线性模型的调整因子或第二输入信号的动态非线性模型的调整因子。in,

is the parameter value representing the dynamic nonlinear characteristic parameter of the first input signal, is the parameter value representing the dynamic nonlinear characteristic parameter of the preselected input signal,

represents the adjustment factor of the dynamic nonlinear model of the first input signal or the adjustment factor of the dynamic nonlinear model of the second input signal.

Further, determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal, including:

该第一插值公式可以为：According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula may be:

表示第二输入信号的动态线性模型的调整因子，w^(r)表示权重因子，权重因子w^(r)根据权重公式确定得到，该权重公式可以为：Wherein, r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal, represents the adjustment factor of the dynamic linear model of the first input signal,

Represents the adjustment factor of the dynamic linear model of the second input signal, w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula can be:

Wherein, Pr represents the power value of the input signal whose power level is _r , and PM represents the power value of the first input signal whose power level is _M.

Determine the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal, including:

According to the adjustment factor of the dynamic nonlinear model of the preselected input signal, the second interpolation formula is used to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group The second interpolation formula can be:

表示第一输入信号的动态非线性模型的调整因子，

表示第二输入信号的动态非线性模型的调整因子，w^(r)表示权重因子。in,

represents the adjustment factor of the dynamic nonlinear model of the first input signal,

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and w ^(r) represents the weighting factor.

After step 105, the method may further include: when the state of the power amplifier changes, updating the amplifier model of the current input signal to obtain an updated amplifier model. The state change of the power amplifier is device aging, temperature fluctuation or bias voltage change.

Specifically, update the amplifier model of the current input signal to obtain the updated amplifier model, including:

According to the amplifier model of the current input signal, obtain the model coefficients of the dynamic model of the updated amplifier model; according to the amplifier model of the current input signal, obtain the model coefficients of the static model of the updated amplifier model; The model coefficients of the model and the model coefficients of the static model of the updated amplifier model are substituted into the amplifier model to obtain the updated amplifier model.

Wherein, according to the amplifier model of the current input signal, the model coefficients of the dynamic model of the updated amplifier model are obtained, including:

Taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference; the first difference between the model coefficient of the dynamic model of the current input signal The sum of the values serves as the model coefficients for the dynamic model of the updated amplifier model.

According to the amplifier model of the current input signal, the model coefficients of the static model of the updated amplifier model are obtained, including:

The difference between the model coefficient of the static model of the input signal after the state of the power amplifier has changed and the model coefficient of the static model of the input signal before the change is taken as the second difference; the model coefficient of the static model of the current input signal and the second difference The sum of the values serves as the model coefficients for the static model of the updated amplifier model.

To sum up, in the digital predistortion correction method provided by the embodiment of the present invention, the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model can be determined according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD model The model performs digital predistortion correction on the current input signal. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range. To meet the correction requirements of different input signals, the acquisition process of model parameters is simplified and the correction efficiency is improved.

An embodiment of the present invention provides another digital predistortion correction method, as shown in FIG. 3 , the method includes:

Step 201, establishing an amplifier model.

The amplifier model formula is:

表示预设输入信号组的输出信号组，

为N×1的矩阵，表示预设输入信号组的静态模型，

为N×L1的矩阵，

表示预设输入信号组的动态模型，

为N×L2的矩阵，

表示预设输入信号组的动态线性模型，表示预设输入信号组的动态非线性模型，

表示预设输入信号组的动态线性模型的调整因子，

表示预设输入信号组的动态非线性模型的调整因子，

表示静态模型的模型系数，

为L1×1的矩阵，

表示动态模型的模型系数，为L2×1的矩阵。Among them, N represents the number of sampling points of each input signal in the preset input signal group, the preset input signal group includes multiple input signals with different power values, L1 represents the number of model coefficients of the static model, and L2 represents the dynamic model. The number of model coefficients of , r represents the power level of the input signal in the preset input signal group, r is an integer greater than or equal to 1,

represents the output signal group of the preset input signal group,

is an N×1 matrix, a static model representing a preset set of input signals,

is an N×L1 matrix,

a dynamic model representing a preset set of input signals,

is an N×L2 matrix,

represents a dynamic linear model of a preset set of input signals, represents a dynamic nonlinear model of a preset set of input signals,

represents the adjustment factor of the dynamic linear model of the preset input signal group,

represents the adjustment factor of the dynamic nonlinear model of the preset input signal group,

represent the model coefficients of the static model,

is an L1×1 matrix,

represent the model coefficients of the dynamic model, is an L2×1 matrix.

Exemplarily, the input signals in the preset input signal group are arranged in descending order of power value, in order: S1, S2, S3, S4, S5, S6, S7, S8, S9 and S10, then S1, S2 , S3, S4, S5, S6, S7, S8, S9, and S10 correspond to the power levels r of 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10, respectively.

和动态非线性模型

需要说明的是，该放大器模型公式中的动态线性模型的调整因子动态非线性模型的调整因子静态模型的模型系数

和动态模型的模型系数

是未知的。As shown in Figure 4, the amplifier model includes three parts, namely the static model X ^(r) of the preset input signal group, the dynamic linear model

and dynamic nonlinear models

It should be noted that the adjustment factor of the dynamic linear model in the amplifier model formula Adjustment Factors for Dynamic Nonlinear Models Model coefficients for static models

and the model coefficients of the dynamic model

is unknown.

Step 202: Determine the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal.

The amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal. The dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linearity in the variables of the input signal. The dynamic nonlinear model is used to indicate nonlinear characteristics in the variables of the input signal. The preselected input signal is at least two signals in a preset input signal group, and the preset input signal group includes multiple input signals with different power values.

It should be noted that, in order to enable the preselected input signal to cover the power range of the entire preset input signal group, the preselected input signal may be the input signal with the highest power value and the input signal with the lowest power value in the preset input signal group, or may be The input signal with the highest power value, the input signal with the lowest power value and the input signals corresponding to other power values in the preset input signal group. Exemplarily, the input signals in the preset input signal group are arranged in descending order of power value, the order is: S1, S2, S3, S4, S5, S6, S7, S8, S9 and S10, then the input signal is preselected Can be S1 and S10, or S1, S4, S7 and S10. The present invention does not limit the method for selecting the preselected input signals and the number of the selected preselected input signals. For example, the selected method can be averagely divided according to the power values corresponding to the input signals in the preset input signal group to determine the preselected input signal. ; and the number of preselected input signals can be two or more than two.

It is assumed that the preselected input signals are the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group. Then step 202, as shown in FIG. 5, may include:

Step 2021: Determine the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula.

The linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。需要说明的是，i表示的是预选输入信号的功率量级，预选输入信号可以为预设输入信号组中功率值最高的第一输入信号和功率值最低的第二输入信号，也可以为预设输入信号组中功率值最高的输入信号、功率值最低的输入信号和其它功率值对应的输入信号，本发明实施例对预选输入信号的选取不做限定。Wherein, θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and i represents the power level of the first input signal or the power level of the second input signal , θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal,

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal. It should be noted that i represents the power level of the preselected input signal, and the preselected input signal may be the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group, or may be a preselected input signal. It is assumed that the input signal with the highest power value, the input signal with the lowest power value and the input signals corresponding to other power values in the input signal group are not limited to the selection of the preselected input signal in this embodiment of the present invention.

Further, the parameter that can be used to represent the dynamic linearity characteristic of the input signal is the dynamic linearity characteristic parameter. For example, the dynamic linearity characteristic parameter may be the average power of the output signal corresponding to the preset input signal group in the power amplifier or the average power of the output signal in the power amplifier. Presets the gain of the output signal corresponding to the input signal group.

Step 2022: Determine the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula.

For the specific process of determining the adjustment factor of the dynamic linear model of the second input signal, reference may be made to the determination process in step 2021 .

Step 203: Determine the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.

In order to quantify the change of the dynamic nonlinear characteristics of the power amplifier, the embodiment of the present invention adopts a nonlinear measurement method, that is, the remaining dynamic nonlinear characteristics are represented by calculating the difference from the optimal dynamic linear characteristic approximation of the characteristics of the power amplifier. Linear characteristics.

If the preselected input signal in step 202 is the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group, then correspondingly, step 203, as shown in FIG. 6, may include:

Step 2031: Determine the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula.

The nonlinear characteristic formula can be:

表示预选输入信号的动态非线性特性参数的参数值，x⁽ⁱ⁾(n)表示预选输入信号的信号值，y⁽ⁱ⁾(n)表示预选输入信号对应的输出信号，θ_i表示第一输入信号的动态线性特性参数的参数值或第二输入信号的动态线性特性参数的参数值。in,

represents the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal, x ⁽ⁱ⁾ (n) represents the signal value of the preselected input signal, y ⁽ⁱ⁾ (n) represents the output signal corresponding to the preselected input signal, θ _i represents the first The parameter value of the dynamic linear characteristic parameter of the input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal.

Step 2032: Determine the adjustment factor of the dynamic nonlinear model of the preselected input signal according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula.

The nonlinear adjustment factor formula is:

表示第一输入信号的动态非线性特性参数的参数值，

表示预选输入信号的动态非线性特性参数的参数值，

表示第一输入信号的动态非线性模型的调整因子或第二输入信号的动态非线性模型的调整因子。in,

is the parameter value representing the dynamic nonlinear characteristic parameter of the first input signal,

is the parameter value representing the dynamic nonlinear characteristic parameter of the preselected input signal,

represents the adjustment factor of the dynamic nonlinear model of the first input signal or the adjustment factor of the dynamic nonlinear model of the second input signal.

It can be known from steps 202 and 203 that the adjustment factor of the dynamic linear model of the first input signal can be determined according to the parameter value of the dynamic linear characteristic parameter of the first input signal, and the parameter value of the dynamic linear characteristic parameter of the second input signal can be determined. Determine the adjustment factor of the dynamic linear model of the second input signal; the parameter value of the dynamic nonlinear characteristic parameter of the first input signal can be determined according to the parameter value of the dynamic linear characteristic parameter of the first input signal, so that the parameter value of the dynamic nonlinear characteristic parameter of the first input signal can be determined. The adjustment factor of the dynamic nonlinear model, the parameter value of the dynamic nonlinear characteristic parameter of the second input signal can be determined according to the parameter value of the dynamic linear characteristic parameter of the second input signal, so that the dynamic nonlinear model of the second input signal can be determined. adjustment factor.

Step 204 , establishing an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.

知动态模型的模型系数

建立当前输入信号的放大器模型。其中，放大器模型公式可以参考步骤201中的放大器模型公式。According to the adjustment factor of the dynamic linear model of the first input signal and the adjustment factor of the dynamic nonlinear model of the first input signal, the adjustment factor of the dynamic linear model of the second input signal and the adjustment factor of the dynamic nonlinear model of the second input signal , the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preset input signal group can be determined, and then the model coefficients and the preset model coefficients of the static model of the preset input signal group can be determined by using the amplifier model formula according to the least square method. Set the model coefficients of the dynamic model of the input signal group, and finally determine the model coefficients of the static model of the current input signal

Know the model coefficients of the dynamic model

Build an amplifier model for the current input signal. For the amplifier model formula, reference may be made to the amplifier model formula in step 201 .

表示预设输入信号组中的输入信号对应的动态线性模型的调整因子，

至

表示预设输入信号组中的输入信号对应的动态非线性模型的调整因子，

表示预设输入信号组的静态模型的模型系数，

表示预设输入信号组的动态模型的模型系数。Exemplarily, FIG. 7 is a process of determining the model coefficients of the static model and the model coefficients of the dynamic model corresponding to the preselected input signal according to the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal, as shown in FIG. 7 . As shown, a group of preselected input signals in the preset input signal group is selected, and the preselected input signal may be the input signal with the highest power value and the input signal with the lowest power value in the preset input signal group, or may be the preset input signal The input signal with the highest power value, the input signal with the lowest power value and the input signals corresponding to other power values in the group. According to the collected preselected input signal, calculate the adjustment factor of the corresponding dynamic linear model and the adjustment factor of the dynamic nonlinear model, and then use the amplifier model formula to determine the model coefficient and dynamic model of the static model corresponding to the preselected input signal according to the least square method. The model coefficients of the model. x ⁽¹⁾ (n) to x ^(R) (n) represent the input signals in the preset input signal group, y ⁽¹⁾ (n) to y ^(R) (n) represent the output corresponding to the preset input signal group Signal, to

represents the adjustment factor of the dynamic linear model corresponding to the input signal in the preset input signal group,

to

represents the adjustment factor of the dynamic nonlinear model corresponding to the input signal in the preset input signal group,

the model coefficients representing the static model of the preset set of input signals,

Model coefficients representing the dynamic model of the preset set of input signals.

As shown in FIG. 8, step 204 may specifically include:

和动态模型的模型系数

Step 2041: According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, use the amplifier model formula to determine the model coefficient of the static model of the current input signal.

and the model coefficients of the dynamic model

As shown in Figure 9, step 2041 may specifically include:

Step 2041a: Determine the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal.

Specifically, step 2041a may include:

该第一插值公式可以为：According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula may be:

表示第一输入信号的动态线性模型的调整因子，

表示第二输入信号的动态线性模型的调整因子，w^(r)表示权重因子，权重因子w^(r)根据权重公式确定得到，该权重公式可以为：Wherein, r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal (M=1), and greater than the power level m of the second input signal,

represents the adjustment factor of the dynamic linear model of the first input signal,

Represents the adjustment factor of the dynamic linear model of the second input signal, w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula can be:

Wherein, Pr represents the power value of the input signal whose power magnitude is _r , and PM represents the power value of the first input signal whose power magnitude is M ( _M =1).

When the power value of the input signal in the preset input signal group is less than the power value of the first input signal and greater than the power value of the second input signal, the power level of the input signal is considered to be less than the power level M of the first input signal (M=1), which is greater than the power level m of the second input signal.

Step 2041b: Determine the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal.

Specifically, step 2041b may include:

该第二插值公式可以为：According to the adjustment factor of the dynamic nonlinear model of the preselected input signal, the second interpolation formula is used to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group

The second interpolation formula can be:

表示第一输入信号的动态非线性模型的调整因子，表示第二输入信号的动态非线性模型的调整因子，w^(r)表示权重因子。in,

represents the adjustment factor of the dynamic nonlinear model of the first input signal, represents the adjustment factor of the dynamic nonlinear model of the second input signal, and w ^(r) represents the weighting factor.

The preselected input signals in the preset input signal group are also referred to as trained input signals, and the other input signals in the preset input signal group except the preselected input signals are referred to as untrained input signals, as can be seen from steps 2041a and 2041b , for any input signal in the preset input signal group that has not been trained, through the first interpolation formula and the second interpolation formula, the adjustment factor and dynamic nonlinear model of the dynamic linear model corresponding to the input signal can be obtained adjustment factor. Step 2041a and step 2041b may be performed simultaneously, and the order of the steps is not limited in this embodiment of the present invention.

Exemplarily, FIG. 10 is the solution of determining the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model corresponding to any input signal that has not been trained in the preset input signal group through the first interpolation formula and the second interpolation formula. Process, for details, please refer to step 2041a and step 2041b. M represents the power level of the first input signal, m represents the power level of the second input signal, x ^(M) (n) represents the first input signal, (C ^M ) represents the model coefficient of the first input signal, y ^{( M)} (n) represents the output signal corresponding to the first input signal, x ^(r) (n) represents that the power value is less than the power level M of the first input signal, and the power level M greater than the second input signal has not been trained The input signal of , (C ^r ) represents the model coefficient of the input signal, y ^(r) (n) represents the output signal corresponding to the input signal, x ^(m) (n) represents the second input signal, (C ^m ) represents the The model coefficients of the second input signal, y ^(m) (n) represents the output signal corresponding to the second input signal, and w ^(r) represents the weighting factor.

For any input signal that has not been trained in the preset input signal group, first determine which power value of the input signal is between the power values of the two trained input signals, and then use the first interpolation formula and the second interpolation formula to determine the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model corresponding to the input signal. Assume that the input signals in the preset input signal group are arranged in descending order of power value: S1, S2, S3, S4, S5, S6, S7, S8, S9 and S10, if the preselected input signal is S1 and S10, according to S1 and S10, the first interpolation formula and the second interpolation formula can be used to determine the adjustment factor and The adjustment factor of the dynamic nonlinear model; if the preselected input signals are S1, S2, S6 and S10, since the power value of S3 is located between the power values of S2 and S6, according to S2 and S6, through the first interpolation formula and the first interpolation formula The second interpolation formula determines the adjustment factor of the dynamic linear model corresponding to S3 and the adjustment factor of the dynamic nonlinear model. Similarly, the adjustment factor of the dynamic linear model corresponding to any one of the input signals of S4, S5, S7, S8 and S9 can be determined and the dynamic Adjustment factor for nonlinear models.

Step 2041c: Substitute the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain the model coefficients of the static model of the preset input signal group and the preset Model coefficients for the dynamic model of the input signal group.

According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group are obtained After that, according to the adjustment factor of the dynamic linear model of the preset input signal group, the adjustment factor of the dynamic nonlinear model of the preset input signal group, and according to the least squares method, the amplifier model formula can be used to determine the static state of the preset input signal group. The model coefficients of the model and the model coefficients of the dynamic model of the preset input signal set.

将预设输入信号组的动态模型的模型系数作为当前输入信号的动态模型的模型系数

Step 2041d, taking the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal

Use the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

和动态模型的模型系数

The model coefficients of the static model of the preset input signal group and the model coefficients of the dynamic model of the preset input signal group are the model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model

代入放大器模型公式，得到当前输入信号对应的放大器模型。Step 2042, use the model coefficients of the static model of the current input signal and the model coefficients of the dynamic model

Substitute into the amplifier model formula to obtain the amplifier model corresponding to the current input signal.

和动态模型的模型系数

便可建立当前输入信号对应的放大器模型。The model coefficients of the static model of the current input signal are known

and the model coefficients of the dynamic model

The amplifier model corresponding to the current input signal can be established.

和动态模型的模型系数

It can be seen from this that the method for obtaining the model coefficients in the digital predistortion correction method provided by the embodiment of the present invention can reduce the number of power values corresponding to different input signals that need to be calculated, thereby reducing the complexity of the amplifier model establishment ; On the other hand, the method of obtaining the model coefficients corresponding to the remaining power values by means of linear interpolation can be combined with the adjustment factors of the original dynamic linear model and the adjustment factors of the dynamic nonlinear model in the amplifier model formula, so as to be simple and Quickly determine the model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model

Step 205: Obtain the DPD model of the current input signal according to the amplifier model of the current input signal.

Specifically, the inverse function of the amplifier model of the current input signal can be used as the DPD model of the current input signal. As shown in Figure 1, when the DPD model is the inverse function of the amplifier model, the current input signal will be linearly amplified after passing through the cascaded DPD modules 01 and PA02, thus avoiding the output signal of the current input signal after passing through PA02 produce distortion.

Step 206: Perform digital predistortion correction on the current input signal according to the DPD model of the current input signal.

The predistortion signal corresponding to the inverse function of the DPD model of the current input signal is superimposed on the current input signal, so that the superimposed signal passes through the power amplifier module to achieve the purpose of predistortion correction for the current input signal.

Step 207: When the state of the power amplifier changes, update the amplifier model of the current input signal to obtain the updated amplifier model.

Although steps 201 to 206 can better fit the characteristics of the power amplifier when the output power of the power amplifier changes, the working state of the power amplifier will vary with the aging of the device, temperature fluctuations or changes in bias voltage, etc. Therefore, when the state of the power amplifier changes, the amplifier model of the current input signal needs to be updated to obtain an updated amplifier model to adapt to these changes. For example, the state change of the power amplifier may be device aging, temperature fluctuation or bias voltage change. It should be noted that there may be various ways to detect whether the state of the power amplifier changes, and for details, reference may be made to the prior art, and details are not described herein again in this embodiment of the present invention. When the state of the power amplifier changes, the amplifier model of the current input signal is updated according to the specific update method in step 207 to obtain the updated amplifier model.

As shown in Figure 11, step 207 may specifically include:

Step 2071: Obtain model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal.

As shown in Figure 12, step 2071 may specifically include:

Step 2071a, taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference.

Step 2071b: Use the sum of the model coefficient of the dynamic model of the current input signal and the first difference as the model coefficient of the dynamic model of the updated amplifier model.

Step 2072: Obtain model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal.

As shown in Figure 13, step 2072 may specifically include:

Step 2072a: Use the difference between the model coefficient of the static model of the input signal after the state of the power amplifier has changed and the model coefficient of the static model of the input signal before the change as the second difference.

Step 2072b: Use the sum of the model coefficient of the static model of the current input signal and the second difference as the model coefficient of the updated static model of the amplifier model.

Since the static model and the dynamic linear model in the amplifier model formula can be linearly related or not linearly related, therefore, updating the model coefficients of the dynamic model and the model coefficients of the static model of the amplifier model can include two aspects:

(状态变化后的输入信号的静态模型的模型系数与动态模型的模型系数

从而确定状态变化后的模型系数

与状态变化前的模型系数C^(r′)之间的差值(第二差值

和第一差值

)：On the one hand, when the static model and the dynamic linear model in the amplifier model formula are not correlated, the model coefficients after the state change can be determined

(Model coefficients of the static model of the input signal after state change Model coefficients with dynamic models

Thereby, the model coefficients after the state change are determined

The difference from the model coefficient C ^(r') before the state change (the second difference

and the first difference

):

与第一差值

之和作为更新后的放大器模型的动态模型的模型系数；将当前输入信号的静态模型的模型系数

与第二差值

之和作为更新后的放大器模型的静态模型的模型系数：Then the model coefficients of the dynamic model of the current input signal

difference from the first

The sum is used as the model coefficients of the dynamic model of the updated amplifier model; the model coefficients of the static model of the current input signal are

difference from the second

The sum is used as the model coefficients for the static model of the updated amplifier model:

即存在：On the other hand, when the static model and the dynamic linear model in the amplifier model formulation are linearly related, then the training process only obtains a part of the effective model coefficients

i.e. exists:

in,

之和作为更新后的放大器模型的动态模型的模型系数；将当前输入信号的静态模型的模型系数与第二差值

之和作为更新后的放大器模型的静态模型的模型系数：Then the model coefficients of the dynamic model of the current input signal difference from the first

The sum is used as the model coefficients of the dynamic model of the updated amplifier model; the model coefficients of the static model of the current input signal are difference from the second

The sum is used as the model coefficients for the static model of the updated amplifier model:

Step 2073: Substitute the model coefficients of the updated dynamic model of the amplifier model and the model coefficients of the updated static model of the amplifier model into the amplifier model to obtain the updated amplifier model.

14 is an update process of the model coefficients of the amplifier model, and the part above the dotted line indicates that the model coefficients of the dynamic model of the input signal after the state of the power amplifier is changed and the model coefficients of the dynamic model of the input signal before the change are obtained. and the process of obtaining the second difference between the model coefficients of the static model of the input signal after the state change of the power amplifier and the model coefficients of the static model of the input signal before the change, for details, refer to steps 2071a and 2071a. 2072a, the part below the dotted line indicates that the sum of the model coefficients of the dynamic model of the current input signal and the first difference is used as the model coefficients of the dynamic model of the updated amplifier model, and the model coefficients of the static model of the current input signal are used. The process of using the sum of the second difference as the model coefficient of the static model of the updated amplifier model can refer to steps 2071b and 2072b for details, and x ⁽¹⁾ (n) to x ^(R) (n) in FIG. 14 represent current input signal.

Step 208: Use the inverse function of the updated amplifier model as the DPD model of the current input signal.

When the state of the power amplifier changes, update the amplifier model of the current input signal to obtain the updated amplifier model, as described in step 205, and then use the inverse function of the updated amplifier model as the DPD model of the current input signal to avoid the current input signal The output signal after passing through PA02 is distorted.

Step 209: Perform digital pre-distortion correction on the current input signal according to the DPD model corresponding to the inverse function of the updated amplifier model.

For details of step 209, reference may be made to step 206, which will not be repeated here.

It should be noted that when the amplifier model of the current input signal needs to be updated, an input signal with a higher power value in the preset input signal group can be selected as the input signal of the amplifier module in FIG. The coefficients calculate the model coefficients after the state change, the model coefficients before the state change, and the model coefficients of the updated amplifier model, and then apply them to other power values to obtain the new amplifier model coefficients after the state of the power amplifier is changed. . In this way, the amplifier model can quickly adapt to changes in the state of the power amplifier through occasional one or two coefficient updates, and the model coefficients in the entire power dynamic range can be adjusted in time to adapt to such changes in the power amplifier, so that The amplifier model can better adapt to the dynamic changes of power amplifier power in modern wireless communication systems.

Therefore, according to the process of establishing the amplifier model in the digital predistortion correction method provided by the embodiment of the present invention, it can be known that the amplifier model established according to the embodiment of the present invention is an accurate but simple amplifier model, which satisfies the problem of solving the problem of the output signal of the power amplifier. Requirements for key issues of DPD technology under dynamic power change scenarios.

It should be noted that, in various embodiments of the present invention, the size of the sequence numbers of the above-mentioned processes does not imply the order of execution, and the execution order of each process should be determined by its functions and internal logic, rather than dealing with the present invention. The implementation of the embodiments constitutes no limitation.

To sum up, in the digital predistortion correction method provided by the embodiment of the present invention, the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model can be determined according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD model The model performs digital predistortion correction on the current input signal. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range. To meet the correction requirements of different input signals, the acquisition process of model parameters is simplified and the correction efficiency is improved.

Embodiments of the present invention provide a digital predistortion correction apparatus 50. The apparatuses provided by all the embodiments of the present invention may be applied to a communication system. For example, the apparatus may be a radio frequency unit or a base station, or may be a part of a radio frequency unit or a base station , and can also be applied to other systems that require digital predistortion correction, such as radar systems or part of radar systems. As shown in Figure 15, the digital predistortion correction device 50 includes:

The first determination unit 501 , the second determination unit 502 , the establishment unit 503 , the processing unit 504 and the correction unit 505 .

The first determination unit 501 is configured to determine the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, where the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal , the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristic in the variable of the input signal, the dynamic nonlinear model is used to indicate the nonlinear characteristic in the variable of the input signal, and the input signal is preselected For at least two signals in the preset input signal group, the preset input signal group includes a plurality of input signals with different power values.

The second determining unit 502 is configured to determine the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.

The establishment unit 503 is configured to establish an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.

The processing unit 504 is configured to obtain a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal.

The correction unit 505 is configured to perform digital pre-distortion correction on the current input signal according to the DPD model of the current input signal.

To sum up, the digital predistortion correction device provided by the embodiment of the present invention can determine the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD model The model performs digital predistortion correction on the current input signal. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range. To meet the correction requirements of different input signals, the acquisition process of model parameters is simplified and the correction efficiency is improved.

An embodiment of the present invention provides another digital predistortion correction apparatus 50. As shown in FIG. 16, the digital predistortion correction apparatus 50 includes:

The first determining unit 501 , the second determining unit 502 , the establishing unit 503 , the processing unit 504 , the correcting unit 505 and the updating unit 506 .

The first determination unit 501 is configured to determine the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, where the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal , the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristic in the variable of the input signal, the dynamic nonlinear model is used to indicate the nonlinear characteristic in the variable of the input signal, and the input signal is preselected For at least two signals in the preset input signal group, the preset input signal group includes a plurality of input signals with different power values.

The second determining unit 502 is configured to determine the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.

The establishment unit 503 is configured to establish an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.

The processing unit 504 is configured to obtain a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal.

The correction unit 505 is configured to perform digital pre-distortion correction on the current input signal according to the DPD model of the current input signal.

The updating unit 506 is configured to update the amplifier model of the current input signal to obtain an updated amplifier model when the state of the power amplifier changes.

Further, as shown in FIG. 17 , the establishment unit 503 may include:

The first determination module 5031 and the first substitution module 5032.

和动态模型的模型系数该放大器模型公式为：The first determination module 5031 is configured to use the amplifier model formula to determine the model coefficients of the static model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal

and the model coefficients of the dynamic model The amplifier model formula is:

表示预设输入信号组的动态模型，

表示预设输入信号组的动态线性模型，

表示预设输入信号组的动态非线性模型，

表示预设输入信号组的动态线性模型的调整因子，表示预设输入信号组的动态非线性模型的调整因子。Among them, N represents the number of sampling points of each input signal in the preset input signal group, L1 represents the number of model coefficients of the static model, L2 represents the number of model coefficients of the dynamic model, and r represents the preset input signal group. The power level of the input signal, r is an integer greater than or equal to 1, represents the output signal group of the preset input signal group, a static model representing a preset set of input signals,

a dynamic model representing a preset set of input signals,

represents a dynamic linear model of a preset set of input signals,

represents a dynamic nonlinear model of a preset set of input signals,

represents the adjustment factor of the dynamic linear model of the preset input signal group, Represents an adjustment factor for the dynamic nonlinear model of the preset set of input signals.

和动态模型的模型系数代入放大器模型公式，得到当前输入信号对应的放大器模型。The first substitution module 5032 is used to convert the model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model Substitute into the amplifier model formula to obtain the amplifier model corresponding to the current input signal.

As shown in FIG. 18 , the first determination module 5031 may include:

The first determination sub-module 50311, the second determination sub-module 50312, the substitution sub-module 50313 and the first processing sub-module 50314.

The first determination sub-module 50311 is configured to determine the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal.

The second determination sub-module 50312 is configured to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal.

Substitute into sub-module 50313, for substituting the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain the model of the static model of the preset input signal group coefficients and model coefficients for the dynamic model of the preset input signal set.

将预设输入信号组的动态模型的模型系数作为当前输入信号的动态模型的模型系数 The first processing sub-module 50314 is used to use the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal

Use the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

As shown in FIG. 19 , the first determining unit 501 may include:

The second determination module 5011 and the third determination module 5012 .

The second determination module 5011 is configured to determine the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula.

The third determination module 5012 is configured to determine the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula.

The linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。Wherein, θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and i represents the power level of the first input signal or the power level of the second input signal , θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal,

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal.

It should be noted that the dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.

As shown in FIG. 20, the second determining unit 502 may include:

The fourth determination module 5021 and the fifth determination module 5022.

The fourth determination module 5021 is configured to determine the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

表示预选输入信号的动态非线性特性参数的参数值，x⁽ⁱ⁾(n)表示预选输入信号的信号值，y⁽ⁱ⁾(n)表示预选输入信号对应的输出信号。in,

represents the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal, x ⁽ⁱ⁾ (n) represents the signal value of the preselected input signal, and y ⁽ⁱ⁾ (n) represents the output signal corresponding to the preselected input signal.

The fifth determination module 5022 is configured to determine the adjustment factor of the dynamic nonlinear model of the preselected input signal according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:

in, A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.

Further, the first determination sub-module is specifically used to: determine the adjustment factor of the dynamic linear model of the preset input signal group by adopting the first interpolation formula according to the adjustment factor of the dynamic linear model of the preselected input signal. The first interpolation formula is:

表示第一输入信号的动态线性模型的调整因子，

表示第二输入信号的动态线性模型的调整因子，w^(r)表示权重因子，权重因子w^(r)根据权重公式确定得到，该权重公式为：Wherein, r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal,

represents the adjustment factor of the dynamic linear model of the first input signal,

Represents the adjustment factor of the dynamic linear model of the second input signal, w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, Pr represents the power value of the input signal whose power level is _r , and PM represents the power value of the first input signal whose power level is _M.

该第二插值公式为：The second determination sub-module is specifically configured to: determine the adjustment factor of the dynamic nonlinear model of the preset input signal group by adopting the second interpolation formula according to the adjustment factor of the dynamic nonlinear model of the preselected input signal

The second interpolation formula is:

表示第一输入信号的动态非线性模型的调整因子，表示第二输入信号的动态非线性模型的调整因子，w^(r)表示权重因子。in,

represents the adjustment factor of the dynamic nonlinear model of the first input signal, represents the adjustment factor of the dynamic nonlinear model of the second input signal, and w ^(r) represents the weighting factor.

It should be noted that the state change of the power amplifier may be device aging, temperature fluctuation or bias voltage change.

As shown in Figure 21, the update unit 506 may include:

The first acquisition module 5061, the second acquisition module 5062 and the second substitution module 5063.

The first obtaining module 5061 is configured to obtain model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal.

The second obtaining module 5062 is configured to obtain model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal.

The second substitution module 5063 is configured to substitute the model coefficients of the updated dynamic model of the amplifier model and the model coefficients of the updated static model of the amplifier model into the amplifier model to obtain the updated amplifier model.

As shown in Figure 22, the first acquisition module 5061 may include:

The first difference sub-module 50611 and the second processing sub-module 50612.

The first difference sub-module 50611 is configured to use the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference.

The second processing sub-module 50612 is configured to use the sum of the model coefficient of the dynamic model of the current input signal and the first difference as the model coefficient of the dynamic model of the updated amplifier model.

As shown in Figure 23, the second obtaining module 5062 may include:

The second difference sub-module 50621 and the third processing sub-module 50622.

The second difference sub-module 50621 is configured to use the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference.

The third processing sub-module 50622 is configured to use the sum of the model coefficient of the static model of the current input signal and the second difference as the model coefficient of the static model of the updated amplifier model.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, for the specific working process of the above-described devices and units, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

To sum up, the digital predistortion correction device provided by the embodiment of the present invention can determine the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD model The model performs digital predistortion correction on the current input signal. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range. To meet the correction requirements of different input signals, the acquisition process of model parameters is simplified and the correction efficiency is improved.

An embodiment of the present invention provides another digital predistortion correction device. As shown in FIG. 24 , the digital predistortion correction device includes: at least one processor 701 and at least one input-output (English: Input-Output; abbreviated: IO) interface 702 or other communication interface, memory 703, and at least one communication bus 704 for implementing connection communication between these devices. The processor 701 is configured to execute the computer-executed instructions 7031 in the memory 703, and control the IO interface 702 to send and receive. The memory 703 may include random access memory (English: Random Access Memory; RAM for short), or may include non-volatile memory (non-volatile memory), such as at least one disk memory. Through at least one IO interface 702 (which may be wired or wireless), the digital pre-distortion correction apparatus performs data reception and transmission, including communication connection with at least one other network element. When the processor executes the computer execution instructions in the memory, the steps in the foregoing method embodiments may be executed. For details, reference may be made to the descriptions in the foregoing method embodiments, which will not be repeated here.

An embodiment of the present invention also provides a digital predistortion correction device, as shown in FIG. 24 , the digital predistortion correction device includes:

The processor 701 is configured to determine the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, where the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal, the dynamic model of the input signal, and the dynamic model of the input signal. The model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristic in the variable of the input signal, the dynamic nonlinear model is used to indicate the nonlinear characteristic of the variable of the input signal, and the input signal is preselected as the pre-selected input signal. Assuming at least two signals in the input signal group, the preset input signal group includes a plurality of input signals with different power values.

The processor 701 is further configured to determine an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal.

The processor 701 is further configured to establish an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal.

The processor 701 is further configured to obtain a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal. Optionally, the inverse function of the amplifier model of the current input signal may be used as the digital predistortion DPD model of the current input signal.

The processor 701 is further configured to perform digital pre-distortion correction on the current input signal according to the DPD model of the current input signal.

It should be noted that, when the processor in this embodiment of the present invention executes the computer execution instructions in the memory, the steps in the foregoing method embodiments may be executed, and for details, reference may be made to the descriptions in the foregoing method embodiments.

To sum up, the digital predistortion correction device provided by the embodiment of the present invention can determine the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal, and then The amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal, and finally according to the DPD model The model performs digital predistortion correction on the current input signal. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the model parameters of the DPD model covering a sufficient power range. To meet the correction requirements of different input signals, the acquisition process of model parameters is simplified and the correction efficiency is improved.

Further, the processor 701 is specifically used for:

和动态模型的模型系数

该放大器模型公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the model coefficient of the static model of the current input signal is determined by the amplifier model formula

and the model coefficients of the dynamic model

The amplifier model formula is:

表示预设输入信号组的静态模型，

表示预设输入信号组的动态模型，

表示预设输入信号组的动态线性模型，

表示预设输入信号组的动态非线性模型，

表示预设输入信号组的动态线性模型的调整因子，

表示预设输入信号组的动态非线性模型的调整因子；将当前输入信号的静态模型的模型系数

和动态模型的模型系数

代入放大器模型公式，得到当前输入信号对应的放大器模型。Among them, N represents the number of sampling points of each input signal in the preset input signal group, L1 represents the number of model coefficients of the static model, L2 represents the number of model coefficients of the dynamic model, and r represents the preset input signal group. The power level of the input signal, r is an integer greater than or equal to 1, represents the output signal group of the preset input signal group,

a static model representing a preset set of input signals,

a dynamic model representing a preset set of input signals,

represents a dynamic linear model of a preset set of input signals,

represents a dynamic nonlinear model of a preset set of input signals,

represents the adjustment factor of the dynamic linear model of the preset input signal group,

Represents the adjustment factor of the dynamic nonlinear model of the preset input signal group; the model coefficient of the static model of the current input signal

and the model coefficients of the dynamic model

Substitute into the amplifier model formula to obtain the amplifier model corresponding to the current input signal.

The processor 701 is also specifically used for:

将预设输入信号组的动态模型的模型系数作为当前输入信号的动态模型的模型系数

Determine the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal; determine the adjustment of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal factor; substitute the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain the model coefficients of the static model of the preset input signal group and the preset input The model coefficients of the dynamic model of the signal group; the model coefficients of the static model of the preset input signal group are taken as the model coefficients of the static model of the current input signal

Use the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

It should be noted that the preselected input signal may be the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group, and the processor 701 is specifically configured to:

Determine the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula; determine the first input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula The adjustment factor of the dynamic linear model of the two input signals, the linear adjustment factor formula is:

表示第一输入信号的动态线性模型的调整因子或第二输入信号的动态线性模型的调整因子。Wherein, θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and i represents the power level of the first input signal or the power level of the second input signal , θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal,

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal.

It should be noted that the dynamic linear characteristic parameter may be the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier.

The processor 701 is also specifically used for:

The parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal is determined according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

表示预选输入信号的动态非线性特性参数的参数值，x⁽ⁱ⁾(n)表示预选输入信号的信号值，y⁽ⁱ⁾(n)表示预选输入信号对应的输出信号。in,

represents the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal, x ⁽ⁱ⁾ (n) represents the signal value of the preselected input signal, and y ⁽ⁱ⁾ (n) represents the output signal corresponding to the preselected input signal.

The adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula. The nonlinear adjustment factor formula is:

表示第一输入信号的动态非线性特性参数的参数值。in,

A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal.

The processor 701 is also specifically used for:

该第一插值公式为：According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula is:

表示第一输入信号的动态线性模型的调整因子，

表示第二输入信号的动态线性模型的调整因子，w^(r)表示权重因子，权重因子w^(r)根据权重公式确定得到，该权重公式为：Wherein, r indicates that the power level of the input signal in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal,

represents the adjustment factor of the dynamic linear model of the first input signal,

Represents the adjustment factor of the dynamic linear model of the second input signal, w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, Pr represents the power value of the input signal whose power level is _r , and PM represents the power value of the first input signal whose power level is _M.

The processor 701 is also specifically configured to use the second interpolation formula to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal The second interpolation formula is:

表示第一输入信号的动态非线性模型的调整因子，

表示第二输入信号的动态非线性模型的调整因子，w^(r)表示权重因子。in,

represents the adjustment factor of the dynamic nonlinear model of the first input signal,

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and w ^(r) represents the weighting factor.

It should be noted that the processor 701 is also used for:

When the state of the power amplifier changes, the amplifier model of the current input signal is updated to obtain the updated amplifier model.

The state change of the power amplifier can be device aging, temperature fluctuation or bias voltage change.

The processor 701 is further specifically configured to: obtain the model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal; obtain the model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal; The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the updated static model of the amplifier model into the amplifier model.

The processor 701 is further specifically configured to: take the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference; The sum of the model coefficient of the model and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model.

The processor 701 is further specifically configured to: take the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference; The sum of the model coefficients of the model and the second difference is used as the model coefficients of the static model of the updated amplifier model.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, for the specific working process of the above-described devices and units, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

It should be understood that, in this embodiment of the present invention, the processor 701 may be a central processing unit (English: Central Processing Unit; CPU for short), and the processor may also be other general-purpose processors, digital signal processors (English: Digital Sgnal Processing; Abbreviation: DSP), Application Specific Integrated Circuit (English: ApplicationSpecific Integrated Circuit; Abbreviation: ASIC), Off-the-shelf Programmable Gate Array (English: Field-Programmable Gate Array; Abbreviation: FPGA) or other programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, but the processor may be any conventional processor, or the like.

The memory 703 may include read-only memory and random access memory, and provides computer-executable instructions and data to the processor 701 . A portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.

In the implementation process, each step in the above method embodiments may be completed by an integrated logic circuit of hardware in the processor 701 or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiments of the present invention may be directly embodied as executed by a hardware processor, or executed by a combination of hardware and software modules in the processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and completes the steps of the above method in combination with its hardware. To avoid repetition, detailed description is omitted here.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory; ROM for short), RAM, magnetic disk or optical disk and other media that can store program codes.

To sum up, in the digital predistortion correction device provided by the embodiment of the present invention, since the processor can determine the adjustment factor of the dynamic linear model and the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal, Then, the amplifier model of the current input signal is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, and then the DPD model of the current input signal is obtained according to the amplifier model of the current input signal. Finally, Digital predistortion correction is performed on the current input signal according to the DPD model. Compared with the look-up table model, there is no need to calculate and store the model parameters of the amplifier model covering a sufficient power range, so there is no need to calculate and store the DPD model covering a sufficient power range. The model parameters are used to meet the correction requirements of different input signals. Therefore, the acquisition process of the model parameters is simplified and the correction efficiency is improved.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of the present invention.

The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection of the present invention. within the range.

Claims (30)

1. A digital predistortion correction method, characterized in that the method comprises: The adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model is determined according to the preselected input signal, and the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal, and the dynamic model Including a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate a linear characteristic in the variable of the input signal, the dynamic nonlinear model is used to indicate the nonlinear characteristic in the variable of the input signal, the The preselected input signal is at least two signals in a preset input signal group, the preset input signal group includes a plurality of input signals with different power values, and the preselected input signal includes the preset input signal group with the highest power value The first input signal and the second input signal with the lowest power value; determining an adjustment factor of a dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal; establishing an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal; obtaining a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal; Digital pre-distortion correction is performed on the current input signal according to the DPD model of the current input signal. 2 . The digital pre-distortion correction method according to claim 1 , wherein the current value is established according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal. 3 . Amplifier model of the input signal, including: According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the model coefficient of the static model of the current input signal is determined by using an amplifier model formula

and the model coefficients of the dynamic model

The amplifier model formula is:

Wherein, the N represents the number of sampling points of each input signal in the preset input signal group, the L1 represents the number of model coefficients of the static model, and the L2 represents the model coefficients of the dynamic model The number of , the r represents the power level of the input signals in the preset input signal group, the r is an integer greater than or equal to 1, the

represents the output signal group of the preset input signal group, the represents the static model of the preset set of input signals, the

represents the dynamic model of the preset input signal group, the

represents the dynamic linear model of the preset set of input signals, the

represents the dynamic nonlinear model of the preset set of input signals, the

represents the adjustment factor of the dynamic linear model of the preset input signal group, the

an adjustment factor representing the dynamic nonlinear model of the preset input signal group; The model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model Substitute the amplifier model formula to obtain the amplifier model corresponding to the current input signal. 3. digital predistortion correction method according to claim 2, is characterized in that, According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, an amplifier model formula is used to determine the model coefficient of the static model of the current input signal and the model coefficients of the dynamic model

include: determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal; determining the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal; Substitute the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain an equation of the static model of the preset input signal group. model coefficients and model coefficients of the dynamic model of the preset input signal set; Taking the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal

Taking the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal 4 . The digital predistortion correction method according to claim 3 , wherein the preselected input signal is the first input signal with the highest power value and the second input signal with the lowest power value in the preset input signal group. 5 . , The determining the adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal includes: determining the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula; determining the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula; The linear adjustment factor formula is:

Wherein, the θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and the i represents the power amount of the first input signal level or the power level of the second input signal, the θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal. 5. digital predistortion correction method according to claim 4, is characterized in that, The dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier. 6. digital predistortion correction method according to claim 4, is characterized in that, The determining the adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal includes: The parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal is determined according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, the x ⁽ⁱ⁾ (n) representing a signal value of the preselected input signal, and the y ⁽ⁱ⁾ (n) representing the preselected input signal corresponding output signal; The adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:

Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal. 7. digital predistortion correction method according to claim 6, is characterized in that, The determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal includes: According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula is:

Wherein, the r indicates that the power level of the input signals in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal, and the

represents the adjustment factor of the dynamic linear model of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the second input signal, the w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, the P _r represents the power value of the input signal whose power magnitude is r, and the P _M represents the power value of the first input signal whose power magnitude is M; The determining the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal includes: According to the adjustment factor of the dynamic nonlinear model of the preselected input signal, the second interpolation formula is used to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group

The second interpolation formula is:

Among them, the

represents the adjustment factor of the dynamic nonlinear model of the first input signal, the

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and the w ^(r) represents the weighting factor. 8. The digital predistortion correction method according to any one of claims 1 to 7, wherein after the digital predistortion correction is performed on the current input signal according to the DPD model, the method Also includes: When the state of the power amplifier changes, the amplifier model of the current input signal is updated to obtain an updated amplifier model. 9. The digital predistortion correction method according to claim 8, wherein, The state change of the power amplifier is device aging, temperature fluctuation or bias voltage change. 10. The digital predistortion correction method according to claim 9, wherein the updating of the amplifier model of the current input signal to obtain the updated amplifier model comprises: obtaining model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal; obtaining model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal; The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model. 11. The digital predistortion correction method according to claim 10, wherein, The obtaining of the model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal includes: taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference; The sum of the model coefficient of the dynamic model of the current input signal and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model. 12. The digital predistortion correction method according to claim 10, wherein, The obtaining of the model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal includes: Taking the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference; The sum of the model coefficient of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model. 13. The digital predistortion correction method according to claim 8, wherein the updating of the amplifier model of the current input signal to obtain the updated amplifier model comprises: obtaining model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal; obtaining model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal; The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model. 14. The digital predistortion correction method according to claim 13, wherein, The obtaining of the model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal includes: taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference; The sum of the model coefficient of the dynamic model of the current input signal and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model. 15. The digital predistortion correction method according to claim 13, wherein, The obtaining of the model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal includes: Taking the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference; The sum of the model coefficient of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model. 16. A digital predistortion correction device, wherein the digital predistortion correction device comprises: a processor, configured to determine an adjustment factor of the dynamic linear model of the preselected input signal in the amplifier model according to the preselected input signal, where the amplifier model is used to indicate the relationship between the output signal and the static model of the input signal and the dynamic model of the input signal , the dynamic model includes a dynamic linear model and a dynamic nonlinear model, wherein the dynamic linear model is used to indicate the linear characteristics in the variable of the input signal, and the dynamic nonlinear model is used to indicate the non-linear characteristic in the variable of the input signal Linear characteristic, the preselected input signal is at least two signals in a preset input signal group, the preset input signal group includes a plurality of input signals with different power values, and the preselected input signal includes the preset input signal the first input signal with the highest power value and the second input signal with the lowest power value in the group; The processor is further configured to determine an adjustment factor of the dynamic nonlinear model of the preselected input signal in the amplifier model according to the preselected input signal; The processor is further configured to establish an amplifier model of the current input signal according to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal; The processor is further configured to obtain a digital predistortion DPD model of the current input signal according to the amplifier model of the current input signal; The processor is further configured to perform digital pre-distortion correction on the current input signal according to the DPD model of the current input signal. 17. The digital predistortion correction device according to claim 16, wherein the processor is specifically configured to: According to the adjustment factor of the dynamic linear model of the preselected input signal and the adjustment factor of the dynamic nonlinear model of the preselected input signal, the model coefficient of the static model of the current input signal is determined by using an amplifier model formula

and the model coefficients of the dynamic model

The amplifier model formula is: Wherein, the N represents the number of sampling points of each input signal in the preset input signal group, the L1 represents the number of model coefficients of the static model, and the L2 represents the model coefficients of the dynamic model The number of , the r represents the power level of the input signals in the preset input signal group, the r is an integer greater than or equal to 1, the

represents the output signal group of the preset input signal group, the represents the static model of the preset set of input signals, the

represents the dynamic model of the preset input signal group, the

represents the dynamic linear model of the preset set of input signals, the

represents the dynamic nonlinear model of the preset set of input signals, the represents the adjustment factor of the dynamic linear model of the preset input signal group, the

an adjustment factor representing the dynamic nonlinear model of the preset input signal group; The model coefficients of the static model of the current input signal

and the model coefficients of the dynamic model Substitute the amplifier model formula to obtain the amplifier model corresponding to the current input signal. 18. The digital predistortion correction device according to claim 17, wherein the processor is specifically configured to: determining the adjustment factor of the dynamic linear model of the preset input signal group according to the adjustment factor of the dynamic linear model of the preselected input signal; determining the adjustment factor of the dynamic nonlinear model of the preset input signal group according to the adjustment factor of the dynamic nonlinear model of the preselected input signal; Substitute the adjustment factor of the dynamic linear model of the preset input signal group and the adjustment factor of the dynamic nonlinear model of the preset input signal group into the amplifier model formula to obtain an equation of the static model of the preset input signal group. model coefficients and model coefficients of the dynamic model of the preset input signal set; Taking the model coefficients of the static model of the preset input signal group as the model coefficients of the static model of the current input signal

Taking the model coefficients of the dynamic model of the preset input signal group as the model coefficients of the dynamic model of the current input signal

19 . The digital predistortion correction device according to claim 18 , wherein the preselected input signal is a first input signal with the highest power value and a second input signal with the lowest power value in the preset input signal group. 20 . , the processor is specifically used to: determining the adjustment factor of the dynamic linear model of the first input signal according to the dynamic linear characteristic parameter of the first input signal and the linear adjustment factor formula; determining the adjustment factor of the dynamic linear model of the second input signal according to the parameter value of the dynamic linear characteristic parameter of the second input signal and the linear adjustment factor formula; The linear adjustment factor formula is: Wherein, the θ _i represents the parameter value of the dynamic linear characteristic parameter of the first input signal or the parameter value of the dynamic linear characteristic parameter of the second input signal, and the i represents the power amount of the first input signal level or the power level of the second input signal, the θ ₁ represents the parameter value of the dynamic linear characteristic parameter of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the first input signal or the adjustment factor of the dynamic linear model of the second input signal. 20. The digital predistortion correction device according to claim 19, wherein, The dynamic linear characteristic parameter is the average power of the output signal corresponding to the preset input signal group in the power amplifier or the gain of the output signal corresponding to the preset input signal group in the power amplifier. 21. The digital predistortion correction device according to claim 19, wherein the processor is specifically configured to: The parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal is determined according to the parameter value of the dynamic linear characteristic parameter of the preselected input signal and the nonlinear characteristic formula, and the nonlinear characteristic formula is:

Among them, the

A parameter value representing a dynamic nonlinear characteristic parameter of the preselected input signal, the x ⁽ⁱ⁾ (n) representing a signal value of the preselected input signal, and the y ⁽ⁱ⁾ (n) representing the preselected input signal corresponding output signal; The adjustment factor of the dynamic nonlinear model of the preselected input signal is determined according to the parameter value of the dynamic nonlinear characteristic parameter of the preselected input signal and the nonlinear adjustment factor formula, and the nonlinear adjustment factor formula is:

Among them, the A parameter value representing a dynamic nonlinear characteristic parameter of the first input signal. 22. The digital predistortion correction device according to claim 21, wherein the processor is specifically configured to: According to the adjustment factor of the dynamic linear model of the preselected input signal, the first interpolation formula is used to determine the adjustment factor of the dynamic linear model of the preset input signal group

The first interpolation formula is:

Wherein, the r indicates that the power level of the input signals in the preset input signal group is smaller than the power level M of the first input signal and greater than the power level m of the second input signal, and the

represents the adjustment factor of the dynamic linear model of the first input signal, the

Represents the adjustment factor of the dynamic linear model of the second input signal, the w ^(r) represents the weight factor, and the weight factor w ^(r) is determined according to the weight formula, and the weight formula is:

Wherein, the P _r represents the power value of the input signal whose power magnitude is r, and the P _M represents the power value of the first input signal whose power magnitude is M; The processor is further specifically configured to, according to the adjustment factor of the dynamic nonlinear model of the preselected input signal, use a second interpolation formula to determine the adjustment factor of the dynamic nonlinear model of the preset input signal group

The second interpolation formula is:

Among them, the

represents the adjustment factor of the dynamic nonlinear model of the first input signal, the

represents the adjustment factor of the dynamic nonlinear model of the second input signal, and the w ^(r) represents the weighting factor. 23. The digital predistortion correction device according to any one of claims 16 to 22, wherein the processor is further configured to: When the state of the power amplifier changes, the amplifier model of the current input signal is updated to obtain an updated amplifier model. 24. The digital predistortion correction device according to claim 23, wherein, The state change of the power amplifier is device aging, temperature fluctuation or bias voltage change. 25. The digital predistortion correction device according to claim 24, wherein the processor is specifically configured to: obtaining model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal; obtaining model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal; The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model. 26. The digital predistortion correction device according to claim 25, wherein the processor is further specifically configured to: taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference; The sum of the model coefficient of the dynamic model of the current input signal and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model. 27. The digital predistortion correction device according to claim 25, wherein the processor is further specifically configured to: Taking the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference; The sum of the model coefficient of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model. 28. The digital predistortion correction device according to claim 23, wherein the processor is specifically configured to: obtaining model coefficients of the dynamic model of the updated amplifier model according to the amplifier model of the current input signal; obtaining model coefficients of the static model of the updated amplifier model according to the amplifier model of the current input signal; The updated amplifier model is obtained by substituting the model coefficients of the dynamic model of the updated amplifier model and the model coefficients of the static model of the updated amplifier model into the amplifier model. 29. The digital predistortion correction device according to claim 28, wherein the processor is further specifically configured to: taking the difference between the model coefficient of the dynamic model of the input signal after the state of the power amplifier changes and the model coefficient of the dynamic model of the input signal before the change as the first difference; The sum of the model coefficient of the dynamic model of the current input signal and the first difference is used as the model coefficient of the dynamic model of the updated amplifier model. 30. The digital predistortion correction device according to claim 28, wherein the processor is further specifically configured to: Taking the difference between the model coefficient of the static model of the input signal after the state of the power amplifier changes and the model coefficient of the static model of the input signal before the change as the second difference; The sum of the model coefficient of the static model of the current input signal and the second difference is used as the model coefficient of the static model of the updated amplifier model.

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