CN118100838A - Self-adaptive-adjustment ultra-wideband low-noise amplifier - Google Patents
Self-adaptive-adjustment ultra-wideband low-noise amplifier Download PDFInfo
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- CN118100838A CN118100838A CN202410521271.5A CN202410521271A CN118100838A CN 118100838 A CN118100838 A CN 118100838A CN 202410521271 A CN202410521271 A CN 202410521271A CN 118100838 A CN118100838 A CN 118100838A
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03G—CONTROL OF AMPLIFICATION
- H03G3/00—Gain control in amplifiers or frequency changers
- H03G3/20—Automatic control
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03G—CONTROL OF AMPLIFICATION
- H03G3/00—Gain control in amplifiers or frequency changers
- H03G3/20—Automatic control
- H03G3/30—Automatic control in amplifiers having semiconductor devices
- H03G3/3036—Automatic control in amplifiers having semiconductor devices in high-frequency amplifiers or in frequency-changers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a self-adaptive regulation ultra-wideband low-noise amplifier, which relates to the technical field of amplifiers, and automatically generates a gain regulation signal by monitoring the intensity of an input signal in real time and comparing the intensity with a preset reference value, thereby realizing the accurate control of the gain of the amplifier, ensuring that the signal is neither too weak nor too strong in the dynamic range of the amplifier, further analyzing the variation trend of the signal intensity, obtaining an intensity trend index, carrying out secondary gain optimization on the basis of one-time regulation, and improving the adaptability and the intelligent degree of the ultra-wideband low-noise amplifier to the signal variation; according to the invention, the triggering time interval is set, the monitoring and adjusting steps are automatically executed, the timing self-adaptive adjustment of the amplifier is realized, manual intervention is not needed, and the convenience and automation level of operation are improved.
Description
Technical Field
The invention relates to the technical field of amplifiers, in particular to an adaptive-regulation ultra-wideband low-noise amplifier.
Background
With the development of wireless communication technology, the demand for ultra-wideband signal processing is increasing; the ultra-wideband low noise amplifier is a key component in a receiving system, the performance of the ultra-wideband low noise amplifier directly affects the sensitivity and the signal quality of the whole system, and the ultra-wideband low noise amplifier needs to be adaptively adjusted so as to improve the signal quality.
The ultra-wideband low noise amplifier in the prior art has the following defects in the self-adaptive adjustment process:
The secondary optimization can not be performed on the basis of the intensity change trend of the input signal, the intelligent degree is low, and the signal quality is poor;
In the prior art, the performance of the ultra-wideband low-noise amplifier is evaluated in the use process, the working parameters of the ultra-wideband low-noise amplifier are adjusted based on the evaluation result, the influence of the change of the surrounding environment where the amplifier is positioned is not considered in the process, and the performance optimization has one-sided performance.
For this purpose, an adaptive ultra-wideband low noise amplifier is proposed.
Disclosure of Invention
In view of the above, the present invention provides an adaptive ultra-wideband low noise amplifier to solve the above-mentioned problems of the prior art.
The aim of the invention can be achieved by the following technical scheme: comprising the following steps:
M1: the method comprises the steps of monitoring and analyzing the intensity of an input signal in a set time window, and adjusting the gain of the ultra-wideband low noise amplifier once based on the analysis result, wherein the method specifically comprises the following steps:
Extracting the intensity of the input signal at each time point in a set time window, calculating the average value to obtain a real-time average value, presetting a reference value of the average signal intensity, comparing the obtained real-time average value with the preset reference value, if the obtained real-time average value is larger than the preset reference value, generating a reduction regulation signal, otherwise, generating an increase regulation signal; further calculating a difference value between the real-time average value and a preset reference value, and matching the obtained difference value with a preset value range of each difference value; setting a specific gain adjusting range corresponding to each difference value range; obtaining the gain adjusting range of the ultra-wideband low noise amplifier; integrating the generated adjusting signal and the gain adjusting range into an adjusting data packet, and sending the adjusting data packet to a gain control interface, wherein the ultra-wideband low-noise amplifier adjusts the gain once based on the received adjusting data packet;
m2: analyzing the intensity change of the input signal at each time point in the set time window to obtain the intensity trend index of the ultra-wideband low noise amplifier corresponding to the current set time window ; According to the obtained intensity trend index/>Performing secondary optimization on the gain on the basis of primary adjustment;
M3: after secondary optimization based on signal intensity variation trend, analyzing the output signal quality of the ultra-wideband low-noise amplifier in a preset monitoring time window to obtain a performance evaluation index ；
M4: performance evaluation index based on ultra-wideband low noise amplifier in current preset monitoring time windowComparing, and executing corresponding steps to adjust the working parameters of the ultra-wideband low noise amplifier;
m5: and setting trigger time intervals of the set time window and the preset monitoring time window in the step M1 and the step M3 respectively, and executing the steps M1-M4 to carry out self-adaptive adjustment after the corresponding trigger time intervals are reached.
In some embodiments, an intensity trend index of the ultra wideband low noise amplifier corresponding to the current set time window is obtainedThe method comprises the following specific steps of:
M2-101: extracting the intensity of the input signals at each time point in a set time window, substituting the intensity into a line graph for representation, drawing a numerical value point corresponding to the intensity of the input signals at each time point in the line graph, and connecting adjacent data points to obtain an intensity change line; calculating the slope of each intensity change line and the included angle between each intensity change line and the horizontal line, and marking the slope of each intensity change line as a descending slope if the included angle is an acute angle; if the included angle is an obtuse angle, marking the slope of the intensity change line as an ascending slope; summing all the falling slopes and the rising slopes respectively to obtain a falling total value and a rising total value of the input signal intensity in a set time window; calculating the ratio of the ascending total value and the descending total value in the set time window to obtain an intensity variable value, setting a reference range of the intensity variable value, and generating an optimization reducing signaling if the obtained intensity variable value is larger than the maximum value in the set reference range; if the obtained intensity variable value is smaller than the minimum value in the set reference range, generating an optimized addition signaling;
M2-102: when generating an optimized reducing signaling or an optimized increasing signaling, extracting the highest intensity and the lowest intensity in the input signal intensity at each time point, calculating a difference value, taking an absolute value of the difference value, and taking the absolute value as a peak-difference intensity value of the corresponding optimized signaling; further calculating the input signal intensity at each time point by using a standard deviation formula, and taking the calculated result as a variation intensity value of the corresponding optimization signaling;
M2-103: the basic reference values of the peak difference intensity value and the variation intensity value are preset, the ratio of the peak difference intensity value to the variation intensity value to the corresponding basic reference value is calculated respectively, the obtained ratio is accumulated, and the accumulated value is used as the intensity trend index of the ultra-wideband low noise amplifier corresponding to the current set time window ；
M2-104: marking optimization decrease signaling and optimization increase signaling as respectivelyAnd/>Based on the generated specific optimization signaling, the ultra-wideband low noise amplifier is corresponding to the intensity trend index/>, of the current set time windowSubstitution intoMatching to obtain an optimized adjustment value/>, corresponding to the current set time window, of the ultra-wideband low-noise amplifier; Wherein i=1, 2,3 or 4; further optimize the adjustment value/>Matching the gain optimization range with each corresponding preset value range to obtain the gain optimization range of the ultra-wideband low-noise amplifier; setting a specific gain optimization range corresponding to each preset value range; and integrating the generated corresponding optimization signaling and gain optimization range into an optimization data packet, and sending the optimization data packet to a gain control interface of the ultra-wideband low-noise amplifier, wherein the ultra-wideband low-noise amplifier performs secondary optimization on the gain of the ultra-wideband low-noise amplifier on the basis of one-time adjustment based on the received optimization data packet.
In some embodiments, a performance evaluation index of an ultra wideband low noise amplifier is obtainedThe method comprises the following specific steps of:
M3-101: acquiring output signal power and background noise power data of each time point in a preset monitoring time window, and calculating to obtain signal-to-noise ratio SHR of each time point in the preset monitoring time window; acquiring harmonic component and fundamental component power data of output signals at all time points in a preset monitoring time window, and calculating to obtain total harmonic distortion THD at all time points in the preset monitoring time window;
m3-102: setting the lowest reference signal-to-noise ratio and the highest reference total harmonic distortion of the ultra-wideband low noise amplifier and respectively marking as And/>By the formula/>Calculating a performance evaluation value XP of the ultra-wideband low noise amplifier at each time point in a preset monitoring time window;
M3-103: calculating the average value of the performance evaluation values XP of all time points, and taking the average value as the performance evaluation average value XR of the ultra-wideband low-noise amplifier in a preset monitoring time window; calculating a performance evaluation value XP of each time point by using a standard deviation formula, and taking the performance evaluation value XP as a performance evaluation value XY of the ultra-wideband low noise amplifier in a preset monitoring time window; taking the maximum value and the minimum value in each time point sex evaluation value XP, calculating the difference value, and taking the calculated result as a sex evaluation value XU of the ultra-wideband low noise amplifier in a preset monitoring time window;
According to the formula Weighting calculation is carried out on the characteristic evaluation average value XR, the characteristic evaluation variable XY and the characteristic evaluation value XU of the ultra-wideband low-noise amplifier in a preset monitoring time window to obtain the performance evaluation index/>; Wherein/>、/>/>Respectively a preset lowest referential evaluation value, a preset highest referential evaluation value and a preset highest referential evaluation value; ty1, ty2, and ty3 are the influence weight factors of the sex evaluation value XR, the sex evaluation value XY, and the sex evaluation value XU, respectively.
In some embodiments, the step of adjusting the operating parameters of the ultra wideband low noise amplifier accordingly is performed, in particular:
m4-101: performance evaluation index of ultra-wideband low noise amplifier in current preset monitoring time window Comparing the performance abnormal signal with the set evaluation threshold index, if the performance abnormal signal is lower than the set evaluation threshold index, generating a performance abnormal signal, and executing the steps M4-102;
M4-102: index of performance evaluation Calculating the difference value between the set evaluation threshold value index, taking the absolute value as the performance evaluation difference of the ultra-wideband low noise amplifier, and matching the performance evaluation difference with each preset evaluation difference value range; setting each estimated value range to correspond to an ultra-wideband low-noise amplifier gain adjustment range; and obtaining the gain adjustment range of the ultra-wideband low noise amplifier in the current preset monitoring time window, sending the gain adjustment range to a gain control interface for adjustment, and triggering an environment analysis signaling to execute steps M4-103 and steps M4-104.
In some embodiments, performing a corresponding step of adjusting an operating parameter of the ultra wideband low noise amplifier further comprises:
M4-103: acquiring the temperature change condition of the surrounding environment where the ultra-wideband low noise amplifier is located in a current preset monitoring time window; extracting temperature values of all time points in a current preset monitoring time window, and calculating an average value to be used as the average value of the temperature of the surrounding environment in the current preset monitoring time window; calculating the temperature value of each time point by further utilizing a standard deviation formula, and taking the temperature value as a temperature variation value of the surrounding environment in a current preset monitoring time window; extracting the maximum value of the temperature values at each time point to serve as the temperature peak value of the surrounding environment in the current preset monitoring time window;
Based on the obtained temperature average value, temperature variation value and temperature peak value, constructing a three-dimensional rectangular model of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window;
matching the temperature mean value with each preset value range to obtain the length value of the three-dimensional rectangular model in the current preset monitoring time window; setting a length value of each preset value range corresponding to a rectangle respectively;
In the same way, the temperature variable value and the temperature peak value are matched with each preset value range, so that the width value and the height value of the three-dimensional rectangular model in the current preset monitoring time window are obtained;
According to the length value, the width value and the height value obtained by matching, constructing a three-dimensional rectangular model of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window, calculating the volume of the three-dimensional rectangular model, comparing the calculated volume value with a set reference volume value, if the calculated volume value is larger than the set reference volume value, further calculating the difference between the two volume values, matching the difference with three set value ranges to obtain the temperature regulation level of the ultra-wideband low noise amplifier in the current preset monitoring time window, setting each value range to correspond to one temperature regulation level, and marking the three temperature regulation levels as the temperature regulation levels 、/>/>According to the obtained temperature regulation level, correspondingly regulating the ultra-wideband low-noise amplifier;
When generating The refrigeration equipment in the surrounding environment where the ultra-wideband low-noise amplifier is positioned is regulated, and the temperature change is regulated and controlled;
When generating Then at/>Based on (a), the fan or the liquid cooling system in the ultra-wideband low noise amplifier is regulated
When generatingThen at/>And/>On the basis of the above, a temperature compensation mechanism is started to regulate the bias voltage of the current ultra-wideband low noise amplifier.
In some embodiments, performing a corresponding step of adjusting an operating parameter of the ultra wideband low noise amplifier further comprises:
Acquiring the electromagnetic interference condition of the surrounding environment of the ultra-wideband low-noise amplifier in the current preset monitoring time window and substituting the electromagnetic interference condition into a graph for representation; capturing electromagnetic interference signals around the ultra-wideband low noise amplifier and recording the intensity of the electromagnetic interference using an electromagnetic interference monitoring device;
The horizontal axis represents time, the vertical axis represents the intensity of electromagnetic interference, and a graph of the electromagnetic interference intensity changing along with time in a current preset monitoring time window is drawn; setting the highest allowable value of the electromagnetic interference intensity according to the performance standard of the ultra-wideband low-noise amplifier, and drawing a threshold line of the highest allowable value corresponding to the graph; filling the area surrounded by the curve and the threshold line to obtain each filling area, calculating the shadow area of each filling area and accumulating to obtain a magnetic disturbance surface value CR; further acquiring the duration corresponding to each filling area and accumulating to obtain a magnetic disturbance length value CF;
According to the formula The magnetic disturbance face value CR and the magnetic disturbance length value CF are weighted and calculated to obtain the disturbance evaluation index of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window; Wherein/>And/>Respectively preset maximum allowable magnetic disturbance face value and maximum allowable magnetic disturbance length value; hy1 and hy2 are the influencing weight factors of the magnetic disturbance value CR and the magnetic disturbance length value CF respectively;
interference evaluation index of surrounding environment where ultra-wideband low noise amplifier is located in current preset monitoring time window And comparing the signal with a corresponding preset index threshold, and triggering an interference optimization signaling to adjust the filter if the signal is larger than the corresponding preset index threshold.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, the intensity of an input signal is monitored in real time and is compared with a preset reference value, a gain adjusting signal is automatically generated, the accurate control of the gain of the amplifier is realized, the signal is ensured to be neither too weak nor too strong in the dynamic range of the amplifier, the change trend of the signal intensity is further analyzed, the intensity trend index is obtained, the secondary gain optimization is carried out on the basis of primary adjustment, and the adaptability and the intelligent degree of the ultra-wideband low-noise amplifier to the signal change are improved;
According to the invention, the performance evaluation index is obtained by calculating the signal-to-noise ratio and the total harmonic distortion and combining the indexes, the temperature change and the electromagnetic interference change condition of the ultra-wideband low noise amplifier in the current preset monitoring time window are analyzed based on the corresponding trigger environment analysis signaling of the comparison result of the performance evaluation index, so that the amplifier can automatically adapt to the environment change to maintain the optimal performance, and the problems that the influence of the change of the surrounding environment where the amplifier is positioned is not considered and the performance optimization has one-sided performance in the prior art are solved;
According to the invention, the triggering time interval is set, the monitoring and adjusting steps are automatically executed, the timing self-adaptive adjustment of the amplifier is realized, manual intervention is not needed, and the convenience and automation level of operation are improved.
Drawings
Further details, features and advantages of the application are disclosed in the following description of exemplary embodiments with reference to the following drawings, in which:
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic diagram of the present invention;
Fig. 3 is a graph showing the variation in the present invention.
Detailed Description
Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings in order to enable those skilled in the art to practice the application. The present application may be embodied in many different forms and objects and should not be limited to the embodiments set forth herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art. The examples do not limit the application.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and/or the present specification and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Referring to fig. 1-3, an adaptive ultra-wideband low noise amplifier, comprising:
M1: monitoring the intensity of an input signal in a set time window; the signal detection circuit at the front end of the radio frequency is used for completing the detection; converting the monitored signal strength values into processable data; converting the analog signal into a digital signal by an analog-to-digital converter; extracting the intensity of the input signals at each time point in a set time window and calculating the average value to obtain a real-time average value; based on the performance requirement and application scene of the ultra-wideband low noise amplifier; ensuring that the signal is neither too weak nor too strong within the dynamic range of the amplifier; presetting a reference value of average signal intensity, comparing the obtained real-time average value with the preset reference value, generating a corresponding adjusting signal and a gain adjusting range based on a comparison result, integrating the adjusting signal and the gain adjusting range into an adjusting data packet, and sending the adjusting data packet to a gain control interface of an ultra-wideband low-noise amplifier, wherein the ultra-wideband low-noise amplifier adjusts the gain once based on the received adjusting data packet; the method comprises the following steps:
If the value is larger than the preset reference value, generating a reduction regulating signal, otherwise, generating an increase regulating signal; further calculating a difference value between the real-time average value and a preset reference value, and matching the obtained difference value with a preset value range of each difference value; setting a specific gain adjusting range corresponding to each difference value range; obtaining the gain adjusting range of the ultra-wideband low noise amplifier;
It should be noted that, ensuring the ultra wideband low noise amplifier provides stable performance under various signal conditions, and optimizes signal reception and processing.
M2: analyzing the intensity change of the input signal at each time point in the set time window to obtain the intensity trend index of the ultra-wideband low noise amplifier corresponding to the current set time window; According to the obtained intensity trend index/>Performing secondary optimization on the gain of the ultra-wideband low-noise amplifier on the basis of primary adjustment; the method comprises the following steps:
M2-101: extracting the intensity of the input signals at each time point in a set time window, substituting the intensity into a line graph for representation, drawing a numerical value point corresponding to the intensity of the input signals at each time point in the line graph, and connecting adjacent data points to obtain an intensity change line; calculating the slope of each intensity change line and the included angle between each intensity change line and the horizontal line, and marking the slope of each intensity change line as a descending slope if the included angle is an acute angle; if the included angle is an obtuse angle, marking the slope of the intensity change line as an ascending slope; summing all the falling slopes and the rising slopes respectively to obtain a falling total value and a rising total value of the input signal intensity in a set time window; calculating the ratio of the ascending total value and the descending total value in the set time window to obtain an intensity variable value, setting a reference range of the intensity variable value, and generating an optimization reducing signaling if the obtained intensity variable value is larger than the maximum value in the set reference range; if the obtained intensity variable value is smaller than the minimum value in the set reference range, generating an optimized addition signaling;
M2-102: when generating an optimized reducing signaling or an optimized increasing signaling, extracting the highest intensity and the lowest intensity in the input signal intensity at each time point, calculating a difference value, taking an absolute value of the difference value, and taking the absolute value as a peak-difference intensity value of the corresponding optimized signaling; further calculating the input signal intensity at each time point by using a standard deviation formula, and taking the calculated result as a variation intensity value of the corresponding optimization signaling;
After generating the corresponding optimized signaling, analyzing the input signal intensity of each time point in the set time window to obtain a peak difference intensity value and a variation intensity value; thus reflecting the rising or falling degree of the input signal intensity in the set time window and improving the accuracy of the subsequent optimization.
M2-103: presetting a basic reference value of a peak difference intensity value and a variation intensity value; the basic reference value is used for setting follow-up optimization for technicians; respectively calculating the ratio of the peak difference intensity value to the variation intensity value to the corresponding basic reference value, accumulating the obtained ratio, and taking the accumulated value as the intensity trend index of the ultra-wideband low noise amplifier corresponding to the current set time window；
M2-104: marking optimization decrease signaling and optimization increase signaling as respectivelyAnd/>Based on the generated specific optimization signaling, the ultra-wideband low noise amplifier is corresponding to the intensity trend index/>, of the current set time windowSubstitution intoMatching to obtain an optimized adjustment value/>, corresponding to the current set time window, of the ultra-wideband low-noise amplifier; Wherein i=1, 2,3 or 4; further optimize the adjustment value/>Matching the gain optimization range with each corresponding preset value range to obtain the gain optimization range of the ultra-wideband low-noise amplifier; setting a specific gain optimization range corresponding to each preset value range; the generated corresponding optimization signaling and gain optimization range are integrated into an optimization data packet and sent to a gain control interface of the ultra-wideband low-noise amplifier, and the ultra-wideband low-noise amplifier performs secondary optimization on the gain of the ultra-wideband low-noise amplifier on the basis of primary adjustment based on the received optimization data packet;
It should be noted that, by calculating the intensity trend index, the degree of change of the signal intensity can be quantified, which is helpful for the amplifier to perform secondary optimization based on primary adjustment according to the actual change of the signal, and improves the intelligent degree of adaptive adjustment and the quality of signal processing.
M3: after secondary optimization based on signal intensity variation trend, analyzing the output signal quality of the ultra-wideband low-noise amplifier in a preset monitoring time window to obtain the performance evaluation index of the ultra-wideband low-noise amplifier; The method comprises the following steps:
M3-101: acquiring output signal power and background noise power data of each time point in a preset monitoring time window, and calculating to obtain signal-to-noise ratio SHR of each time point in the preset monitoring time window; acquiring harmonic component and fundamental component power data of output signals at all time points in a preset monitoring time window, and calculating to obtain total harmonic distortion THD at all time points in the preset monitoring time window;
m3-102: setting the lowest reference signal-to-noise ratio and the highest reference total harmonic distortion of the ultra-wideband low noise amplifier and respectively marking as And/>By the formula/>Calculating a performance evaluation value XP of the ultra-wideband low noise amplifier at each time point in a preset monitoring time window;
M3-103: calculating the average value of the performance evaluation values XP of all time points, and taking the average value as the performance evaluation average value XR of the ultra-wideband low-noise amplifier in a preset monitoring time window; calculating a performance evaluation value XP of each time point by using a standard deviation formula, and taking the performance evaluation value XP as a performance evaluation value XY of the ultra-wideband low noise amplifier in a preset monitoring time window; taking the maximum value and the minimum value in each time point sex evaluation value XP, calculating the difference value, and taking the calculated result as a sex evaluation value XU of the ultra-wideband low noise amplifier in a preset monitoring time window;
According to the formula Weighting calculation is carried out on the characteristic evaluation average value XR, the characteristic evaluation variable XY and the characteristic evaluation value XU of the ultra-wideband low-noise amplifier in a preset monitoring time window to obtain the performance evaluation index/>; Wherein/>、/>/>Respectively a preset lowest referential evaluation value, a preset highest referential evaluation value and a preset highest referential evaluation value; ty1, ty2 and ty3 are the influence weight factors of the sex evaluation value XR, the sex evaluation value XY and the sex evaluation value XU respectively, and the values are respectively set to be 1.135, 1.127 and 1.124;
It is to be noted that, two key indexes of signal-to-noise ratio and total harmonic distortion are considered, so as to realize comprehensive evaluation of the performance of the amplifier; further, the performance of the amplifier is converted into a specific numerical value by calculating the performance evaluation index, so that quantitative analysis and comparison are facilitated.
M4: performance evaluation index based on ultra-wideband low noise amplifier in current preset monitoring time windowThe comparison result is that the working parameters of the ultra-wideband low noise amplifier are correspondingly adjusted by executing the steps, specifically:
m4-101: performance evaluation index of ultra-wideband low noise amplifier in current preset monitoring time window Comparing the performance abnormal signal with the set evaluation threshold index, if the performance abnormal signal is lower than the set evaluation threshold index, generating a performance abnormal signal, and executing the steps M4-102;
M4-102: index of performance evaluation Calculating the difference value between the set evaluation threshold value index, taking the absolute value as the performance evaluation difference of the ultra-wideband low noise amplifier, and matching the performance evaluation difference with each preset evaluation difference value range; setting each estimated value range to correspond to an ultra-wideband low-noise amplifier gain adjustment range; obtaining the gain adjustment range of the ultra-wideband low noise amplifier in the current preset monitoring time window, sending the gain adjustment range to a gain control interface for adjustment, and triggering an environment analysis signaling to execute the steps M4-103 and M4-104;
M4-103: acquiring the temperature change condition of the surrounding environment where the ultra-wideband low noise amplifier is located in a current preset monitoring time window; extracting temperature values of all time points in a current preset monitoring time window, and calculating an average value to be used as the average value of the temperature of the surrounding environment in the current preset monitoring time window; calculating the temperature value of each time point by further utilizing a standard deviation formula, and taking the temperature value as a temperature variation value of the surrounding environment in a current preset monitoring time window; extracting the maximum value of the temperature values at each time point to serve as the temperature peak value of the surrounding environment in the current preset monitoring time window;
Based on the obtained temperature average value, temperature variation value and temperature peak value, constructing a three-dimensional rectangular model of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window;
matching the temperature mean value with each preset value range to obtain the length value of the three-dimensional rectangular model in the current preset monitoring time window; setting a length value of each preset value range corresponding to a rectangle respectively;
In the same way, the temperature variable value and the temperature peak value are matched with each preset value range, so that the width value and the height value of the three-dimensional rectangular model in the current preset monitoring time window are obtained;
According to the length value, the width value and the height value obtained by matching, constructing a three-dimensional rectangular model of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window, calculating the volume of the three-dimensional rectangular model, comparing the calculated volume value with a set reference volume value, if the calculated volume value is larger than the set reference volume value, further calculating the difference between the two volume values, matching the difference with three set value ranges to obtain the temperature regulation level of the ultra-wideband low noise amplifier in the current preset monitoring time window, setting each value range to correspond to one temperature regulation level, and marking the three temperature regulation levels as the temperature regulation levels 、/>/>According to the obtained temperature regulation level, correspondingly regulating the ultra-wideband low-noise amplifier;
When generating The refrigeration equipment in the surrounding environment where the ultra-wideband low-noise amplifier is positioned is regulated, and the temperature change is regulated and controlled;
When generating Then at/>Based on (a), the fan or the liquid cooling system in the ultra-wideband low noise amplifier is regulated
When generatingThen at/>And/>On the basis of the above, a temperature compensation mechanism is started to regulate the bias voltage of the current ultra-wideband low noise amplifier;
It should be noted that, by constructing a three-dimensional rectangular model and calculating the volume thereof, the temperature condition of the environment where the ultra-wideband low noise amplifier is located can be accurately quantified, which is helpful for more accurately evaluating the influence of the environmental temperature on the performance of the amplifier; according to the calculated temperature regulation level, the refrigerating equipment, the fan or the liquid cooling system and the temperature compensation mechanism can be adaptively regulated, and the performance and the reliability of the amplifier are ensured.
M4-104: the electromagnetic interference condition of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window is obtained and substituted into the graph to be expressed, specifically:
Capturing electromagnetic interference signals around the ultra-wideband low noise amplifier and recording the intensity of the electromagnetic interference using an electromagnetic interference monitoring device;
The horizontal axis represents time, the vertical axis represents the intensity of electromagnetic interference, and a graph of the electromagnetic interference intensity changing along with time in a current preset monitoring time window is drawn; setting the highest allowable value of the electromagnetic interference intensity according to the performance standard of the ultra-wideband low-noise amplifier, and drawing a threshold line of the highest allowable value corresponding to the graph; filling the area surrounded by the curve and the threshold line to obtain each filling area, calculating the shadow area of each filling area and accumulating to obtain a magnetic disturbance surface value CR; further acquiring the duration corresponding to each filling area and accumulating to obtain a magnetic disturbance length value CF;
According to the formula The magnetic disturbance face value CR and the magnetic disturbance length value CF are weighted and calculated to obtain the disturbance evaluation index of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window; Wherein/>And/>Respectively preset maximum allowable magnetic disturbance face value and maximum allowable magnetic disturbance length value; hy1 and hy2 are the influence weight factors of the magnetic disturbance surface value CR and the magnetic disturbance length value CF respectively, and the values are set to be 1.254 and 1.263 respectively;
interference evaluation index of surrounding environment where ultra-wideband low noise amplifier is located in current preset monitoring time window Comparing the signal with a corresponding preset index threshold, triggering an interference optimization signaling if the signal is larger than the corresponding preset index threshold, and adjusting the filter;
it should be noted that, the change of electromagnetic interference intensity along with time is drawn into a graph, so that the dynamic change of interference can be intuitively observed, and the analysis and understanding of the interference mode and trend are facilitated; further calculating magnetic disturbance values and magnetic disturbance length values and converting them into disturbance evaluation indexes, a quantitative method is provided to evaluate the effect on the performance of the amplifier; when the interference evaluation index exceeds a preset threshold, an interference optimization signaling is triggered, and the parameters of the filter are automatically adjusted so as to reduce the influence of electromagnetic interference and improve the quality of signals and the reliability of a system.
M5: according to the use requirement of the ultra-wideband low noise amplifier, trigger time intervals of the set time window and the preset monitoring time window in the step M1 and the step M3 are respectively set, and after the corresponding trigger time interval is reached, the steps M1-M4 are executed for self-adaptive adjustment.
Further, the self-adaptive regulation ultra-wideband low-noise amplifier comprises a signal monitoring module, a trend analysis module, a gain control module, a performance evaluation module, an environment monitoring module and a regulation decision module;
the signal monitoring module is used for monitoring the intensity of an input signal in real time and converting the input signal into a digital signal;
The trend analysis module is used for analyzing the change trend of the signal intensity;
the gain control module adjusts the gain of the amplifier based on the analysis result;
The performance evaluation module is used for evaluating the quality of the output signal of the amplifier;
the environment monitoring module is used for monitoring the temperature and electromagnetic interference condition of the environment where the amplifier is located;
the adjustment decision module adjusts the operational parameters of the amplifier accordingly based on the results of the analysis.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. An adaptively tuned ultra wideband low noise amplifier comprising:
M1: the method comprises the steps of monitoring and analyzing the intensity of an input signal in a set time window, and adjusting the gain of the ultra-wideband low noise amplifier once based on the analysis result, wherein the method specifically comprises the following steps:
Extracting the intensity of the input signal at each time point in a set time window, calculating the average value to obtain a real-time average value, presetting a reference value of the average signal intensity, comparing the obtained real-time average value with the preset reference value, if the obtained real-time average value is larger than the preset reference value, generating a reduction regulation signal, otherwise, generating an increase regulation signal; further calculating a difference value between the real-time average value and a preset reference value, and matching the obtained difference value with a preset value range of each difference value; setting a specific gain adjusting range corresponding to each difference value range; obtaining the gain adjusting range of the ultra-wideband low noise amplifier; integrating the generated adjusting signal and the gain adjusting range into an adjusting data packet, and sending the adjusting data packet to a gain control interface, wherein the ultra-wideband low-noise amplifier adjusts the gain once based on the received adjusting data packet;
m2: analyzing the intensity change of the input signal at each time point in the set time window to obtain the intensity trend index of the ultra-wideband low noise amplifier corresponding to the current set time window ; According to the obtained intensity trend index/>Performing secondary optimization on the gain on the basis of primary adjustment;
M3: after secondary optimization based on signal intensity variation trend, analyzing the output signal quality of the ultra-wideband low-noise amplifier in a preset monitoring time window to obtain a performance evaluation index ；
M4: performance evaluation index based on ultra-wideband low noise amplifier in current preset monitoring time windowComparing, and executing corresponding steps to adjust the working parameters of the ultra-wideband low noise amplifier;
m5: and setting trigger time intervals of the set time window and the preset monitoring time window in the step M1 and the step M3 respectively, and executing the steps M1-M4 to carry out self-adaptive adjustment after the corresponding trigger time intervals are reached.
2. An adaptive ultra wideband low noise amplifier according to claim 1, wherein the intensity trend index of the ultra wideband low noise amplifier corresponding to the current set time window is obtainedThe method comprises the following specific steps of:
M2-101: extracting the intensity of the input signals at each time point in a set time window, substituting the intensity into a line graph for representation, drawing a numerical value point corresponding to the intensity of the input signals at each time point in the line graph, and connecting adjacent data points to obtain an intensity change line; calculating the slope of each intensity change line and the included angle between each intensity change line and the horizontal line, and marking the slope of each intensity change line as a descending slope if the included angle is an acute angle; if the included angle is an obtuse angle, marking the slope of the intensity change line as an ascending slope; summing all the falling slopes and the rising slopes respectively to obtain a falling total value and a rising total value of the input signal intensity in a set time window; calculating the ratio of the ascending total value and the descending total value in the set time window to obtain an intensity variable value, setting a reference range of the intensity variable value, and generating an optimization reducing signaling if the obtained intensity variable value is larger than the maximum value in the set reference range; if the obtained intensity variable value is smaller than the minimum value in the set reference range, generating an optimized addition signaling;
M2-102: when generating an optimized reducing signaling or an optimized increasing signaling, extracting the highest intensity and the lowest intensity in the input signal intensity at each time point, calculating a difference value, taking an absolute value of the difference value, and taking the absolute value as a peak-difference intensity value of the corresponding optimized signaling; further calculating the input signal intensity at each time point by using a standard deviation formula, and taking the calculated result as a variation intensity value of the corresponding optimization signaling;
M2-103: the basic reference values of the peak difference intensity value and the variation intensity value are preset, the ratio of the peak difference intensity value to the variation intensity value to the corresponding basic reference value is calculated respectively, the obtained ratio is accumulated, and the accumulated value is used as the intensity trend index of the ultra-wideband low noise amplifier corresponding to the current set time window ；
M2-104: marking optimization decrease signaling and optimization increase signaling as respectivelyAnd/>Based on the generated specific optimization signaling, the ultra-wideband low noise amplifier is corresponding to the intensity trend index/>, of the current set time windowSubstitution intoMatching to obtain an optimized adjustment value/>, corresponding to the current set time window, of the ultra-wideband low-noise amplifier; Wherein i=1, 2,3 or 4; further optimize the adjustment value/>Matching the gain optimization range with each corresponding preset value range to obtain the gain optimization range of the ultra-wideband low-noise amplifier; setting a specific gain optimization range corresponding to each preset value range; and integrating the generated corresponding optimization signaling and gain optimization range into an optimization data packet, and sending the optimization data packet to a gain control interface of the ultra-wideband low-noise amplifier, wherein the ultra-wideband low-noise amplifier performs secondary optimization on the gain of the ultra-wideband low-noise amplifier on the basis of one-time adjustment based on the received optimization data packet.
3. An adaptive ultra wideband low noise amplifier according to claim 2, wherein the performance evaluation index of the ultra wideband low noise amplifier is obtainedThe method comprises the following specific steps of:
M3-101: acquiring output signal power and background noise power data of each time point in a preset monitoring time window, and calculating to obtain signal-to-noise ratio SHR of each time point in the preset monitoring time window; acquiring harmonic component and fundamental component power data of output signals at all time points in a preset monitoring time window, and calculating to obtain total harmonic distortion THD at all time points in the preset monitoring time window;
m3-102: setting the lowest reference signal-to-noise ratio and the highest reference total harmonic distortion of the ultra-wideband low noise amplifier and respectively marking as And/>By the formula/>Calculating a performance evaluation value XP of the ultra-wideband low noise amplifier at each time point in a preset monitoring time window;
M3-103: calculating the average value of the performance evaluation values XP of all time points, and taking the average value as the performance evaluation average value XR of the ultra-wideband low-noise amplifier in a preset monitoring time window; calculating a performance evaluation value XP of each time point by using a standard deviation formula, and taking the performance evaluation value XP as a performance evaluation value XY of the ultra-wideband low noise amplifier in a preset monitoring time window; taking the maximum value and the minimum value in each time point sex evaluation value XP, calculating the difference value, and taking the calculated result as a sex evaluation value XU of the ultra-wideband low noise amplifier in a preset monitoring time window;
According to the formula Weighting calculation is carried out on the characteristic evaluation average value XR, the characteristic evaluation variable XY and the characteristic evaluation value XU of the ultra-wideband low-noise amplifier in a preset monitoring time window to obtain the performance evaluation index/>; Wherein/>、/>/>Respectively a preset lowest referential evaluation value, a preset highest referential evaluation value and a preset highest referential evaluation value; ty1, ty2, and ty3 are the influence weight factors of the sex evaluation value XR, the sex evaluation value XY, and the sex evaluation value XU, respectively.
4. An adaptively tuned ultra wideband low noise amplifier according to claim 3, wherein the step of adjusting the operating parameters of the ultra wideband low noise amplifier accordingly is performed, in particular:
m4-101: performance evaluation index of ultra-wideband low noise amplifier in current preset monitoring time window Comparing the performance abnormal signal with the set evaluation threshold index, if the performance abnormal signal is lower than the set evaluation threshold index, generating a performance abnormal signal, and executing the steps M4-102;
M4-102: index of performance evaluation Calculating the difference value between the set evaluation threshold value index, taking the absolute value as the performance evaluation difference of the ultra-wideband low noise amplifier, and matching the performance evaluation difference with each preset evaluation difference value range; setting each estimated value range to correspond to an ultra-wideband low-noise amplifier gain adjustment range; and obtaining the gain adjustment range of the ultra-wideband low noise amplifier in the current preset monitoring time window, sending the gain adjustment range to a gain control interface for adjustment, and triggering an environment analysis signaling to execute steps M4-103 and steps M4-104.
5. An adaptively tuned ultra wideband low noise amplifier as defined in claim 4, wherein performing the step of adjusting the operating parameters of the ultra wideband low noise amplifier accordingly further comprises:
M4-103: acquiring the temperature change condition of the surrounding environment where the ultra-wideband low noise amplifier is located in a current preset monitoring time window; extracting temperature values of all time points in a current preset monitoring time window, and calculating an average value to be used as the average value of the temperature of the surrounding environment in the current preset monitoring time window; calculating the temperature value of each time point by further utilizing a standard deviation formula, and taking the temperature value as a temperature variation value of the surrounding environment in a current preset monitoring time window; extracting the maximum value of the temperature values at each time point to serve as the temperature peak value of the surrounding environment in the current preset monitoring time window;
Based on the obtained temperature average value, temperature variation value and temperature peak value, constructing a three-dimensional rectangular model of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window;
matching the temperature mean value with each preset value range to obtain the length value of the three-dimensional rectangular model in the current preset monitoring time window; setting a length value of each preset value range corresponding to a rectangle respectively;
In the same way, the temperature variable value and the temperature peak value are matched with each preset value range, so that the width value and the height value of the three-dimensional rectangular model in the current preset monitoring time window are obtained;
According to the length value, the width value and the height value obtained by matching, constructing a three-dimensional rectangular model of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window, calculating the volume of the three-dimensional rectangular model, comparing the calculated volume value with a set reference volume value, if the calculated volume value is larger than the set reference volume value, further calculating the difference between the two volume values, matching the difference with three set value ranges to obtain the temperature regulation level of the ultra-wideband low noise amplifier in the current preset monitoring time window, setting each value range to correspond to one temperature regulation level, and marking the three temperature regulation levels as the temperature regulation levels 、/>/>According to the obtained temperature regulation level, correspondingly regulating the ultra-wideband low-noise amplifier;
When generating The refrigeration equipment in the surrounding environment where the ultra-wideband low-noise amplifier is positioned is regulated, and the temperature change is regulated and controlled;
When generating Then at/>Based on (a), the fan or the liquid cooling system in the ultra-wideband low noise amplifier is regulated
When generatingThen at/>And/>On the basis of the above, a temperature compensation mechanism is started to regulate the bias voltage of the current ultra-wideband low noise amplifier.
6. An adaptively tuned ultra wideband low noise amplifier according to claim 5, wherein performing the step of adjusting the operating parameters of the ultra wideband low noise amplifier accordingly further comprises:
Acquiring the electromagnetic interference condition of the surrounding environment of the ultra-wideband low-noise amplifier in the current preset monitoring time window and substituting the electromagnetic interference condition into a graph for representation; capturing electromagnetic interference signals around the ultra-wideband low noise amplifier and recording the intensity of the electromagnetic interference using an electromagnetic interference monitoring device;
The horizontal axis represents time, the vertical axis represents the intensity of electromagnetic interference, and a graph of the electromagnetic interference intensity changing along with time in a current preset monitoring time window is drawn; setting the highest allowable value of the electromagnetic interference intensity according to the performance standard of the ultra-wideband low-noise amplifier, and drawing a threshold line of the highest allowable value corresponding to the graph; filling the area surrounded by the curve and the threshold line to obtain each filling area, calculating the shadow area of each filling area and accumulating to obtain a magnetic disturbance surface value CR; further acquiring the duration corresponding to each filling area and accumulating to obtain a magnetic disturbance length value CF;
According to the formula The magnetic disturbance face value CR and the magnetic disturbance length value CF are weighted and calculated to obtain the disturbance evaluation index/>, of the surrounding environment of the ultra-wideband low noise amplifier in the current preset monitoring time window; Wherein/>And/>Respectively preset maximum allowable magnetic disturbance face value and maximum allowable magnetic disturbance length value; hy1 and hy2 are the influencing weight factors of the magnetic disturbance value CR and the magnetic disturbance length value CF respectively;
interference evaluation index of surrounding environment where ultra-wideband low noise amplifier is located in current preset monitoring time window And comparing the signal with a corresponding preset index threshold, and triggering an interference optimization signaling to adjust the filter if the signal is larger than the corresponding preset index threshold.
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