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CN109889286A - A kind of signal-noise ratio estimation method based on pilot signal - Google Patents

A kind of signal-noise ratio estimation method based on pilot signal Download PDF

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CN109889286A
CN109889286A CN201910097658.1A CN201910097658A CN109889286A CN 109889286 A CN109889286 A CN 109889286A CN 201910097658 A CN201910097658 A CN 201910097658A CN 109889286 A CN109889286 A CN 109889286A
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signal
noise ratio
snr
noise
performance number
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CN109889286B (en
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周冲
任海涛
马成
杨庆森
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Chengdu yuanchuangshida Technology Co.,Ltd.
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Hangzhou People In Electronic Co Ltd
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Abstract

The invention discloses a kind of signal-noise ratio estimation method based on pilot signal, comprise the steps that step (S1) obtains pilot signal position channel estimation valueStep (S2) is according to the channel estimation valueThe total performance number P of the pilot signal is calculateds, noise jamming the first performance number Pn1And the second performance number Pn2, and further obtain the performance number P of noise jammingn;Step (S3) is according to the obtained pilot signal total power value PsAnd the noise-plus-interference power value Pn, obtain signal-to-noise ratio initial estimate SNRinitial;Step (S4) is using modifying factor δ to the signal-to-noise ratio initial estimate SNRinitialIt is modified, obtains signal-to-noise ratio (SNR) estimation value SNRfinal.By the above method, signal-to-noise ratio (SNR) estimation value of the present invention is more accurate compared with the estimated value of the prior art;Simultaneously this method avoid the application of divider, it is easy to realize in systems in practice.Therefore, use value and promotional value with higher.

Description

A kind of signal-noise ratio estimation method based on pilot signal
Technical field
The present invention relates to a kind of signal-noise ratio estimation methods, specifically, being to be related to a kind of signal-to-noise ratio based on pilot signal Estimation method.
Background technique
Long term evolution (LTE, Long Term Evolution) system introduce orthogonal frequency division multiplexing (OFDM, Orthogonal Frequency Division Multiplexing) and multiple-input and multiple-output (MIMO, Multi-Input& The key technologies such as Multi-Output), significantly increase spectrum efficiency and message transmission rate.Wherein OFDM is multi-carrier transmission One of implementation of scheme, actual wireless channel is divided into several subcarriers by it, and each subcarrier is mutually orthogonal, pole Big the utilization rate for improving radio spectrum resources.It, can be right meanwhile according to the variation of the transmission quality of channel and channel condition The configured transmission of ofdm signal carries out automatic adjusument, so that the transmission rate of system and transmission reliability reach optimal knot It closes.
Signal-to-noise ratio (SNR, Signal to Noise Ratio), which refers to, receives average useful signal and average noise in signal The ratio of jamming power, it is one of the important parameter for measuring channel quality, and more and more algorithms and application require to be based on Signal-to-noise ratio carries out performance optimization as priori knowledge, such as power control, Adaptive Modulation, Turbo Code are decoded, are adaptive Handover etc., while it is directly related to the bit error rate and frame error rate, can be measured with real-time perfoming, understands system convenient for engineering staff System real-time Transmission characteristic.
The algorithm of signal-to-noise ratio (SNR) estimation can be generally divided into blind estimating method and the data householder method based on pilot tone.Wherein, Blind estimating method does not have auxiliary data, carries out the valuation that respective handling obtains signal-to-noise ratio, this method to signal is received in receiving end It needs largely to be counted, algorithm is complicated, and convergence rate is slower, is difficult real-time tracking fast fading channel, and estimate accuracy Not as good as the estimation method assisted based on pilot data.Based on pilot data auxiliary method be send data in insertion known to Pilot signal carries out related operation in receiving end and obtains signal-to-noise ratio (SNR) estimation value.
Signal-to-noise ratio (SNR) estimation is estimated that the estimation of optimization must be unbiasedness and variance is minimum according to signal is received, but Due to the fact that signal-to-noise ratio (SNR) estimation certainly exists error.Firstly, filter be difficult by additive Gaussian noise and interference with it is useful Signal is kept completely separate;Secondly, the observation window vector limited length of algorithm for estimating, and the size of the size of window and evaluated error In inverse relation;Meanwhile the stochastic behaviour of signal and the diversity of modulation system, cause many algorithms in systems in practice It is difficult to realize.Therefore, it is necessary to improve to existing signal-noise ratio estimation method.
Summary of the invention
The purpose of the present invention is to provide a kind of signal-noise ratio estimation methods based on pilot signal, mainly solve existing noise Ratio method is not high for the estimated accuracy for receiving the signal-to-noise ratio of signal, and algorithm realizes the larger problem of difficulty in systems in practice.
To achieve the above object, The technical solution adopted by the invention is as follows:
A kind of signal-noise ratio estimation method based on pilot signal, comprising the following steps:
(S1) channel estimation value for receiving pilot signal position in a subframe in signal is calculatedIts In, m, k respectively indicate the corresponding pilot signal and are located at m column frequency pilot sign, on k-th of pilot sub-carrier;
(S2) according to obtained channel estimation valueThe power that pilot signal is total in one subframe is calculated Value Ps, noise jamming the first performance number Pn1With the second performance number P of noise jammingn2
(S3) according to the first performance number P of obtained noise jammingn1With the second performance number P of noise jammingn2, obtain institute State the performance number P that pilot signal noise is interfered in a subframen
(S4) according to obtained total power value PsAnd noise-plus-interference power value Pn, signal-to-noise ratio initial estimate is calculated SNRinitial
(S5) using modifying factor δ to the signal-to-noise ratio initial estimate SNRinitialIt is modified, noise is calculated Compared estimate value SNRfinal
Further, in the step (S2), the total performance number P of pilot signal in one subframesAccording to relationship FormulaIt obtains, the first performance number P of noise jammingn1According to relational expressionIt obtains, the second performance number P of noise jammingn2According to Relational expressionIt obtains.
Further, in the step (S3), the performance number P of the noise jammingnAccording to relational expression Pn=(Pn1+ Pn2)/2 obtain.
Further, in the step (S4), the signal-to-noise ratio initial estimate SNRinitialAccording to relational expression SNRinitial=(Ps-Pn)/PnIt obtains.
Further, the signal-to-noise ratio (SNR) estimation value SNRfinalUsing the modifying factor δ according to relational expression SNRfinal= SNRinitial* δ is obtained.
Further, the modifying factor δ is obtained according to relational expression δ=N/M, and wherein N is transmission sub-carrier number, M FFT Points.
Compared with prior art, the invention has the following advantages:
Signal-noise ratio estimation method of the invention subtracts the power of noise and interference by the total received power of pilot signal, The reception power of pilot signal is obtained, and indicates noise-plus-interference power using the difference of channel estimation value, counteracts filter not The noise that can be eliminated and interference, improve estimated accuracy, while avoiding the application of divider, are easy to real system realization.
Detailed description of the invention
Fig. 1 is pilot signal inserted mode schematic diagram used in the embodiment of the present invention.
Fig. 2 is the flow chart of signal-noise ratio estimation method of the invention.
Fig. 3 is the contrast schematic diagram that the embodiment of the present invention obtains result and the prior art.
Fig. 4 is the average EVM performance simulation schematic diagram of the embodiment of the present invention and the prior art.
Specific embodiment
Signal-noise ratio estimation method of the invention can be applied to LTE system downlink, but be not limited to LTE system downlink Link.Signal-noise ratio estimation method of the invention is discussed in detail by taking LTE DL SNR compared estimate as an example below, wherein pilot tone is believed Number modulation system uses QPSK (quadrature phase shift keying, a kind of digital modulation mode), and transmission link system bandwidth uses 10M band Width, sub-carrier number 432, FFT (Fast Fourier Transform (FFT)) counts 1024.Pilot signal uses scattered pilot inserted mode, It is divided into 6 symbols between time domain pilot, 6 subcarriers are divided between pilot tone.
Embodiment
As shown in Figs 1-4, a kind of signal-noise ratio estimation method based on pilot signal disclosed by the invention, including following step It is rapid:
(S1) channel estimation value for receiving pilot signal position in a subframe in signal is calculatedIts In, m, k respectively indicate the corresponding pilot signal and are located at m column frequency pilot sign, on k-th of pilot sub-carrier.Channel estimation valueCan by LS (Least Square, least square), MMSE (Minimum Mean Squared Error, it is minimum Square error) and other channel estimation methods be calculated.
(S2) channel estimation value obtained according to step (S1)Pass through relational expression The total performance number P of all pilot signals in the subframe is calculateds, wherein L is one The number of pilot signal on column frequency pilot sign;Pass through relational expression WithIt calculates separately and is made an uproar First performance number P of acoustic jammingn1With the second performance number P of noise jammingn2
(S3) the first performance number P of the noise jamming obtained according to step (S2)n1With the second performance number of noise jamming Pn2, pass through relational expression Pn=(Pn1+Pn2)/2 obtain the power P of noise jammingn
(S4) according to obtained total power value PsAnd noise-plus-interference power value Pn, pass through relational expression SNRinitial=(Ps- Pn)/PnSignal-to-noise ratio initial estimate SNR is calculatedinitial
(S5) since interference bring error influences, the signal-to-noise ratio initial estimate SNR being calculatedinitialRelatively practical letter Ratio of making an uproar is linearly bigger than normal, so using modifying factor δ to the signal-to-noise ratio initial estimate SNRinitiaIt is modified, obtains letter Compared estimate value of making an uproar SNRfinal, SNRfinal=SNRinitial* δ, wherein the modifying factor δ is obtained according to relational expression δ=N/M, N To transmit sub-carrier number 432, M is FFT points 1024, i.e. δ=432/1024.
Fig. 3 give the estimated value that the signal-to-noise ratio estimation algorithm of the present embodiment obtains, uncorrected signal-to-noise ratio (SNR) estimation value with And the comparison between the obtained estimated value of Boumard signal-to-noise ratio estimation algorithm, it can be seen that the signal-to-noise ratio (SNR) estimation of the present embodiment is calculated Method compared with Boumard signal-to-noise ratio estimation algorithm have preferably estimation performance, estimated value is more accurate, and revised estimated value compared with Uncorrected estimated value is more nearly practical snr value;Fig. 4 gives the signal-to-noise ratio estimation algorithm and Boumard of the present embodiment Average EVM (Error Vector Magnitude, error vector magnitude) performance simulation of signal-to-noise ratio estimation algorithm, can see Out, either the signal-to-noise ratio estimation algorithm of low signal-to-noise ratio section or high s/n ratio section the present embodiment all has preferably averagely EVM performance.
Through the above steps, signal-noise ratio estimation method of the invention improves estimated accuracy, while avoiding divider Using, be easy to real system realization.Therefore, use value and promotional value with higher.
Above-described embodiment is only one of the preferred embodiment of the present invention, should not be taken to limit protection model of the invention It encloses, as long as that in body design thought of the invention and mentally makes has no the change of essential meaning or polishing, is solved The technical issues of it is still consistent with the present invention, should all be included within protection scope of the present invention.

Claims (6)

1. a kind of signal-noise ratio estimation method based on pilot signal, which comprises the following steps:
(S1) channel estimation value for receiving pilot signal position in a subframe in signal is calculatedWherein, m, k It respectively indicates the corresponding pilot signal and is located at m column frequency pilot sign, on k-th of pilot sub-carrier;
(S2) according to obtained channel estimation valueThe total performance number P of pilot signal in one subframe is calculateds、 First performance number P of noise jammingn1With the second performance number P of noise jammingn2
(S3) according to the first performance number P of obtained noise jammingn1With the second performance number P of noise jammingn2, obtain one The performance number P that pilot signal noise is interfered in subframen
(S4) according to obtained total power value PsAnd noise-plus-interference power value Pn, signal-to-noise ratio initial estimate is calculated SNRinitial
(S5) using modifying factor δ to the signal-to-noise ratio initial estimate SNRinitialIt is modified, signal-to-noise ratio (SNR) estimation is calculated Value SNRfinal
2. a kind of signal-noise ratio estimation method based on pilot signal according to claim 1, which is characterized in that in the step Suddenly in (S2), the total performance number P of pilot signal in one subframesAccording to relational expressionIt obtains, the first performance number P of noise jammingn1According to relational expressionIt obtains, the second performance number P of noise jammingn2According to Relational expressionIt obtains.
3. a kind of signal-noise ratio estimation method based on pilot signal according to claim 2, which is characterized in that in the step Suddenly in (S3), the performance number P of the noise jammingnAccording to relational expression Pn=(Pn1+Pn2)/obtain.
4. a kind of signal-noise ratio estimation method based on pilot signal according to claim 3, which is characterized in that in the step Suddenly in (S4), the signal-to-noise ratio initial estimate SNRinitialAccording to relational expression SNRinitial=(Ps-Pn)/PnIt obtains.
5. a kind of signal-noise ratio estimation method based on pilot signal according to claim 4, which is characterized in that in the step Suddenly in (S5), the signal-to-noise ratio (SNR) estimation value SNRfinalAccording to relational expression SNRfinal=SNRinitial* δ is obtained.
6. a kind of signal-noise ratio estimation method based on pilot signal according to claim 5, which is characterized in that the amendment Factor delta is obtained according to relational expression δ=N/M, and wherein N is transmission sub-carrier number, and M is FFT points.
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Cited By (2)

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CN111884956A (en) * 2020-06-29 2020-11-03 烽火通信科技股份有限公司 SNR estimation method and device based on pilot signal
CN111988856A (en) * 2020-08-19 2020-11-24 上海共进信息技术有限公司 Multi-radio-frequency unit baseband combination method of extension unit of 4G/5G distributed small base station

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CN101635598A (en) * 2008-07-24 2010-01-27 大唐移动通信设备有限公司 Method and device for estimating noise power
CN102025426A (en) * 2009-09-17 2011-04-20 中兴通讯股份有限公司 Method and device for estimating carrier to interference plus noise ratio in orthogonal frequency division multiplexing system
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CN1493162A (en) * 2001-10-25 2004-04-28 连宇通信有限公司 SINR estimation method of cellular mobile communication and its realizing device
CN101335980A (en) * 2007-06-28 2008-12-31 华为技术有限公司 Carrier-to-Interference-to-Noise Ratio Measuring Method and Communication Equipment
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Publication number Priority date Publication date Assignee Title
CN111884956A (en) * 2020-06-29 2020-11-03 烽火通信科技股份有限公司 SNR estimation method and device based on pilot signal
CN111884956B (en) * 2020-06-29 2022-06-03 烽火通信科技股份有限公司 SNR estimation method and device based on pilot signal
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CN111988856B (en) * 2020-08-19 2024-04-26 太仓市同维电子有限公司 Multi-radio frequency unit baseband combining method of extension unit of 4G/5G distributed small base station

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