An automatic gain control method for intermediate frequency demodulation of a receiver

Abstract

The present invention discloses an automatic gain control method for intermediate frequency demodulation of a receiver, which relates to the field of wireless communication technology, including: receiving continuous signal strength data through a receiver, recording the signal strength values ​​at the current and past time points, and generating signal data; based on the signal data, performing linear regression, and calculating the relationship between the signal strength value and the gain adjustment. In the present invention, linear regression is used to clarify the direct relationship between the signal strength value and the gain adjustment, providing a scientific basis for the gain adjustment. In addition, the mean and variance calculations are introduced to obtain real-time signal statistical characteristics, which can capture the instantaneous fluctuations of the signal in more detail, and the optimized gradient descent method further adjusts the gain coefficient to ensure the stable performance of the receiver in various dynamic environments. Through this continuous monitoring and instant adjustment, the adaptability to environmental changes is improved, ensuring the efficiency of signal processing and the quality of reception.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to an automatic gain control method for intermediate frequency demodulation of a receiver. Background Art

[0002] Automatic Gain Control (AGC) is an important topic in the field of wireless communication technology, especially in the application of intermediate frequency demodulation in receivers. AGC is a technology used to automatically adjust the receiver gain to adapt to changes in signal strength. The main purpose of this method is to improve the quality and reliability of signal processing, so that the receiver can work stably under different signal conditions.

[0003] However, the existing technology has certain limitations when dealing with signal changes in highly dynamic environments. Due to its reliance on a relatively fixed gain adjustment strategy, when the speed of environmental changes exceeds the speed of the system adjustment response, it often leads to unstable receiver performance, signal distortion or information loss. Especially in densely populated urban areas or high-speed mobile scenarios, the defects of this technology are particularly obvious. As a result, it may affect user experience and service quality in practical applications. Summary of the invention

[0004] The present invention aims to provide an automatic gain control method for intermediate frequency demodulation of a receiver to solve the above problems.

[0005] The present invention is achieved through the following technical solutions:

[0006] An automatic gain control method for intermediate frequency demodulation of a receiver, comprising:

[0007] Receiving continuous signal strength data through a receiver, recording signal strength values ​​at current and past time points, and generating signal data; performing linear regression based on the signal data to calculate the relationship between the signal strength value and the gain adjustment;

[0008] Continuously monitor the real-time signal, collect signal strength data, and calculate the gain adjustment result according to the relationship between the signal strength value and the gain adjustment; and calculate the mean and variance of the signal strength data to obtain the real-time signal statistical characteristics; combine the real-time signal statistical characteristics with the gain adjustment result, adjust the gain coefficient by gradient descent, and obtain the optimized gain adjustment result;

[0009] Applying the optimized gain adjustment result to the intermediate frequency demodulation part of the receiver, adjusting the working gain of the receiver in real time, monitoring the signal processing effect after the gain adjustment, analyzing the performance in a dynamic environment, and obtaining the gain adjustment feedback result;

[0010] Based on the gain adjustment feedback result, the change of the environmental signal continues to be monitored, and if performance degradation is detected, the gain adjustment result is immediately updated.

[0011] Preferably, the steps of acquiring the signal data are:

[0012] Receive continuous signal strength data through a receiver, record current and past signal strength values, and organize them into a time series to obtain signal data;

[0013] Based on the signal data, the signal strength value at each time point is smoothed, and the smoothing calculation formula is:

[0014] ;

[0015] in, Represents the signal strength value after weighted smoothing, Representative The signal strength at each time point, Representative The weight of each time point, The number of time points represented.

[0016] Preferably, the steps of performing linear regression to calculate the relationship between the signal strength value and the gain adjustment are:

[0017] Using the signal data to initialize the input data of the linear regression model to form basic data for linear regression analysis;

[0018] Based on the linear regression analysis basic data, linear regression is applied to calculate the quantitative relationship between the signal intensity value and the gain adjustment, and the calculation formula is:

[0019] ;

[0020] in, Indicates the gain adjustment result, Represents the signal strength, is the intercept term, is the slope term, represents the error term;

[0021] The gain is adjusted according to the gain adjustment result to complete the gain adjustment.

[0022] Preferably, the steps of acquiring the real-time signal statistical characteristics are:

[0023] Start real-time monitoring of the receiver, continuously record the signal strength at each time point, and form real-time signal strength data;

[0024] Analyze the real-time signal strength data, calculate statistical indicators, the statistical indicators include the mean and variance of the signal strength at each time point, and obtain detailed signal statistical data;

[0025] The detailed signal statistical data is integrated to compile a statistical characteristic report of the real-time signal to obtain the statistical characteristics of the real-time signal.

[0026] Preferably, the step of obtaining the optimization gain adjustment result is:

[0027] Integrating the real-time signal statistical characteristics with the gain adjustment results to form a comprehensive data set;

[0028] Based on the comprehensive data set, the gradient descent algorithm is applied to optimize the gain adjustment, and the calculation formula is:

[0029] ;

[0030] in, is the new gain adjustment result, is the current gain value, is the learning rate, is the gradient of the gain;

[0031] According to the new gain adjustment result obtained by gradient descent calculation, the gain setting of the receiver is updated to obtain the optimized gain adjustment result.

[0032] Preferably, the steps of adjusting the working gain of the receiver in real time are:

[0033] Based on the optimized gain adjustment result, configuring an intermediate frequency demodulation portion of the receiver to accommodate a new gain setting;

[0034] updating the receiver to apply the gain adjustment result to the real-time gain adjustment process;

[0035] Monitor the adjusted receiver operating gain in real time to verify the effectiveness of the new gain setting and confirm that the receiver output meets the expected performance.

[0036] Preferably, the step of obtaining the gain adjustment feedback result is:

[0037] Capture and record the gain-adjusted signal output in real time to form a monitoring data set;

[0038] Using the monitoring data set, the performance index of the signal output is calculated and the effect of the gain adjustment is analyzed. The calculation formula is:

[0039] ;

[0040] in, Represents performance indicators, It is The signal output is is the desired signal output, is the sample size;

[0041] According to the performance indicators, the performance of the signal processing under each environmental condition is analyzed to obtain the gain adjustment feedback result.

[0042] Preferably, the step of updating the gain adjustment result is:

[0043] Using the gain adjustment feedback result, setting monitoring to continuously monitor changes in environmental signals to obtain environmental signal data;

[0044] Analyze the monitored environmental signal data, analyze the signal performance, and compare it with the preset performance benchmark to determine whether there is performance degradation;

[0045] If performance degradation is found, immediately repeat the steps to obtain gain adjustment results and update the gain settings to adapt to the current environment changes.

[0046] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0047] In the present invention, linear regression is used to clarify the direct relationship between the signal strength value and the gain adjustment, providing a scientific basis for the gain adjustment. In addition, the mean and variance calculations are introduced to obtain the real-time signal statistical characteristics, which can capture the instantaneous fluctuations of the signal more carefully. The optimized gradient descent method further adjusts the gain coefficient to ensure the stable performance of the receiver in various dynamic environments. Through this continuous monitoring and instant adjustment, the adaptability to environmental changes is improved, ensuring the efficiency of signal processing and the reception quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0049] Figure 1 Schematic diagram of the steps of the present invention DETAILED DESCRIPTION

[0050] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and drawings. The schematic implementation modes and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention. It should be noted that the present invention is already in the actual development and use stage.

[0051] like Figure 1 As shown, the present invention provides an automatic gain control method for intermediate frequency demodulation of a receiver, comprising the following steps:

[0052] Receiving continuous signal strength data through a receiver, recording the signal strength values ​​at current and past time points, and generating signal data; performing linear regression based on the signal data, and calculating the relationship between the signal strength value and the gain adjustment;

[0053] Continuously monitor the real-time signal, collect signal strength data, and calculate the gain adjustment result based on the relationship between the signal strength value and the gain adjustment; calculate the mean and variance of the signal strength data to obtain the real-time signal statistical characteristics; combine the real-time signal statistical characteristics with the gain adjustment result, adjust the gain coefficient through gradient descent, and obtain the optimized gain adjustment result;

[0054] Apply the optimized gain adjustment result to the intermediate frequency demodulation part of the receiver, adjust the working gain of the receiver in real time, monitor the signal processing effect after gain adjustment, analyze the performance in a dynamic environment, and obtain the gain adjustment feedback result;

[0055] Based on the gain adjustment feedback result, the change of the environmental signal continues to be monitored, and if performance degradation is detected, the gain adjustment result is immediately updated.

[0056] The steps to obtain signal data are:

[0057] Receive continuous signal strength data through a receiver, record current and past signal strength values, and organize them into a time series to obtain signal data;

[0058] Based on the signal data, the signal strength value at each time point is smoothed. The smoothing calculation formula is:

[0059] ;

[0060] in, Represents the signal strength value after weighted smoothing, Representative The signal strength at each time point, Representative The weight of each time point, The number of time points represented.

[0061] Specifically, continuous signal strength data is collected by a receiver. During the data collection process of the receiver, the signal strength at each time point is converted into a voltage reading and electronically stored in a data buffer. The built-in software of the receiver continuously updates the data according to the set time interval, and records the signal strength values ​​at these time points to form time series data. Each data point in the time series is the result of optimization by the signal processing unit to reduce the influence of noise and interference. The optimization algorithm includes filtering and signal enhancement, which ensures that the recorded signal strength value accurately reflects the received signal strength. The data after being organized into a time series is convenient for subsequent mathematical processing and analysis; a signal time series is obtained.

[0062] formula The benefit of is that by considering the weight of each point in the time series, it allows the influence of each point to be adjusted according to the importance of the signal change, thus more accurately reflecting the overall trend of the signal. The setting is based on the stability of the signal at that point in time. The weight of the less stable signal point is low to reduce its influence. The weight parameter is adjusted according to the signal quality and based on real-time data.

[0063] Calculation process: The signal intensities measured at five time points are , , , , and the corresponding weights are , , , , , the smoothed signal strength value can be calculated:

[0064]

[0065] The results show that the smoothed signal strength value is 36.67, which represents the comprehensive signal strength after considering the changes in time and signal strength.

[0066] The steps to perform a linear regression to calculate the relationship between signal strength values ​​and gain adjustment are:

[0067] Use signal data to initialize the input data of the linear regression model to form the basic data for linear regression analysis;

[0068] Based on the basic data of linear regression analysis, linear regression is applied to calculate the quantitative relationship between the signal intensity value and the gain adjustment. The calculation formula is:

[0069]

[0070] in, Indicates the gain adjustment result, Represents the signal strength, is the intercept term, is the slope term, represents the error term;

[0071] The gain is adjusted according to the gain adjustment result to complete the gain adjustment.

[0072] Specifically, when using the generated signal data to initialize the input data of the linear regression model, it is first necessary to ensure that each data point in the signal data has undergone quality control and preprocessing to eliminate the influence of outliers and noise, which includes smoothing the signal intensity and identifying and eliminating outliers. Through these processing steps, the consistency and reliability of the data are guaranteed. Next, the processed signal data is used to construct a linear regression model, with signal intensity as the independent variable and gain adjustment as the dependent variable. The basic data set for linear regression analysis formed by this method provides a scientific basis for the subsequent gain adjustment and forms the basic data for linear regression analysis.

[0073] formula The benefit of this is that it introduces an error term , can take into account the random fluctuations of data and improve the accuracy of prediction; The parameters are obtained by fitting the data by the least square method, and the representative model is The initial gain at The steps to obtain the parameters are as follows, also through the least squares method, which represents the signal strength Each unit change in gain adjusts The amount of change, is the model error, usually a normal distribution, to absorb the variation not explained by the model;

[0074] Calculation process:

[0075] There is a set of data , , , ,but The calculation is ;

[0076] The result shows that under the condition of signal strength of 10, the predicted gain adjustment result is 23.53.

[0077] According to the above regression analysis results, the specific implementation steps of adjusting the gain to adapt to the signal change include: first, based on the results of the linear regression model, formulate an initial gain adjustment strategy, which takes into account the quantitative relationship between the signal strength value and the gain; then, through simulation or field testing, observe the performance of the gain adjustment strategy in actual operation, and adjust the model parameters according to the observation results, such as adjusting and The value of is changed to better match the actual response characteristics of the device. Multiple iterations are required to optimize the gain adjustment result, determine the gain adjustment strategy, and complete the generation of the gain adjustment result.

[0078] The steps to obtain the real-time signal statistical characteristics are:

[0079] Start real-time monitoring of the receiver, continuously record the signal strength at each time point, and form real-time signal strength data;

[0080] Analyze real-time signal strength data and calculate statistical indicators, including the mean and variance of signal strength at each time point, to obtain detailed signal statistics;

[0081] Integrate detailed signal statistics, compile real-time signal statistical characteristics reports, and obtain real-time signal statistical characteristics.

[0082] Specifically, start the real-time monitoring of the receiver and continuously record the signal strength at each time point, which depends on the set data collection frequency and the duration of monitoring. If the data collection frequency is set to record the signal strength once per second, then 60 data points will be recorded every minute to form real-time signal strength data. This process starts with the configuration of the receiver. By adjusting the receiving sensitivity and filter settings, weak signals in the environment can be captured. These signal strength data are accumulated over time and stored in the data buffer. Then, through time series analysis, each data point is marked with a timestamp to maintain the continuity and integrity of the data. By setting a specific data collection frequency, the signal changes at each time point can be captured, and finally a real-time signal strength data set is formed, which provides a basis for subsequent signal quality evaluation and further data processing.

[0083] Analyze the real-time signal strength data and calculate statistical indicators. The statistical indicators include the mean and variance of the signal strength at each time point to obtain detailed signal statistics. This step involves extracting key statistical information from the real-time signal strength data set. The mean of the data is calculated as the arithmetic mean of the signal strength at each time point, and the variance calculation describes the amplitude of the signal strength change at different time points. This analysis helps determine the stability and abnormal fluctuations of the signal. Through these statistical indicators, the performance and signal transmission quality can be effectively monitored to ensure the reliability of the communication system under various environmental conditions and obtain signal statistics.

[0084] Integrate detailed signal statistics, compile statistical characteristics reports of real-time signals, and obtain real-time signal statistical characteristics. In this step, the integration work includes aggregating scattered statistical data into comprehensive reports, which requires in-depth trend analysis and pattern recognition of the data. Through data visualization tools, the data is converted into intuitive charts and graphs to make the data easier to understand and analyze. In this process, the report will describe in detail the average level of signal strength, fluctuations and their possible impact on system performance. The compiled report not only facilitates technicians to monitor and adjust system settings, but also provides decision support for management, enabling them to make more effective operational adjustments based on real-time data, thereby obtaining the statistical characteristics of real-time signals.

[0085] The steps for obtaining the optimized gain adjustment result are:

[0086] Integrate real-time signal statistics and gain adjustment results into a comprehensive data set;

[0087] When initializing the receiver for real-time monitoring, the signal capture function in the receiver is first activated, which can continuously capture the signal strength changes from moment to moment. The receiver is equipped with a high-precision time synchronization unit to ensure that the time stamp of each signal capture is accurate. Each signal is recorded in microseconds and these records are then transferred to a high-speed data buffer. In the data buffer, the signal data is temporarily stored in chronological order, and the data will be used for signal quality analysis and gain adjustment later. In addition, the collection and preliminary processing of data is to establish a comprehensive real-time signal strength data set, which is crucial for subsequent gain adjustment and signal quality optimization.

[0088] Based on the comprehensive data set, the gradient descent algorithm is applied to optimize the gain adjustment, and the calculation formula is:

[0089]

[0090] in, is the new gain adjustment result, is the current gain value, is the learning rate, is the gradient of the gain;

[0091] Specifically, the steps of applying the gradient descent algorithm to optimize gain adjustment are:

[0092] Initialization parameters: Setting gain coefficient This is usually an empirical value based on system design or preliminary testing.

[0093] Choosing a learning rate : This is a key hyperparameter that determines the step size of parameter updates. A learning rate that is too high may lead to overshoot or non-convergence, while a learning rate that is too small may lead to slow convergence.

[0094] Computing Gradients : Involves the cost function (such as the squared error function) with respect to the gain coefficient The gradient indicates the direction in which the cost function increases fastest at the current gain value.

[0095] Repeated iteration: Repeat the steps of calculating gradients and updating parameters until a termination condition is reached, such as the change in gradient is very small (close to 0), or the preset number of iterations is reached.

[0096] Convergence check: After each iteration, evaluate the new gain coefficients The impact on system performance to confirm whether the optimization goal has been achieved or the performance is good enough.

[0097] According to the new gain adjustment result obtained by gradient descent calculation, the gain setting of the receiver is updated to obtain the optimized gain adjustment result.

[0098] Specifically, when updating the gain setting, a new gain value is first calculated based on the new gain adjustment result. The newly calculated gain value is converted into an electrical signal, which is then sent to the control interface of the amplifier. The amplifier adjusts its output amplification factor based on the received electrical signal to achieve real-time gain adjustment.

[0099] The steps to adjust the receiver's operating gain in real time are:

[0100] Based on the optimized gain adjustment result, configuring the intermediate frequency demodulation section of the receiver to accommodate the new gain setting;

[0101] updating the receiver to apply the gain adjustment result to the real-time gain adjustment process;

[0102] Monitor the adjusted receiver operating gain in real time to verify the effectiveness of the new gain setting and confirm that the receiver output meets the expected performance.

[0103] Specifically, obtain the newly calculated gain coefficients and input these coefficients directly into the intermediate frequency demodulation configuration of the receiver to ensure that the new settings can be accepted and implemented, including everything from numerical extraction and parameter decoding to the actual update of system parameters. The focus is on ensuring that these gain parameters fully match the existing configuration of the receiver. At the same time, perform compatibility and efficiency tests to verify the effectiveness and stability of the new parameter settings, ensure that the gain adjustment not only meets the technical specifications, but also meets the actual needs of operation, and ultimately achieve accurate update of the gain parameters.

[0104] New program code and parameters are loaded into the receiver’s control system. The new program code is written and implemented based on the latest gain adjustment algorithm, which ensures that the receiver’s operating gain can be dynamically adjusted based on real-time data. The process includes simulation testing of the adjustment results and detailed monitoring of actual operations to ensure that the new gain setting maintains good operating performance under various signal reception conditions, thereby improving the responsiveness and signal processing quality of the entire system.

[0105] After updating the receiver's control system, continue to perform real-time monitoring of the working gain, which includes monitoring and recording real-time gain data and the specific impact of gain changes on the reception effect, and tracking the performance and effect of gain adjustment. This monitoring ensures that each gain adjustment can meet the design expectations. Through actual data comparison, the effectiveness and adaptability of the gain adjustment are verified. This process not only improves the stability of the system, but also optimizes the overall performance of signal processing, ensuring that the receiver can maintain efficient operation in a constantly changing operating environment.

[0106] The steps for obtaining the gain adjustment feedback result are:

[0107] Capture and record the gain-adjusted signal output in real time to form a monitoring data set;

[0108] Using the monitoring data set, the performance indicators of the signal output are calculated and the effect of the gain adjustment is analyzed. The calculation formula is:

[0109]

[0110] in, Represents performance indicators, It is The signal output is is the desired signal output, is the sample size;

[0111] Based on the performance indicators, the performance of signal processing under each environmental condition is analyzed and the gain adjustment feedback results are obtained.

[0112] Specifically, the gain-adjusted signal output is captured and recorded in real time to form a monitoring data set. This process involves the specific configuration of the receiver monitoring system, including frequency selection, gain setting, and output data formatting. Signals are received through multiple sensors that can capture signal changes and convert them into digital signals for subsequent processing. This method ensures that the collected data is accurate and reliable. Real-time monitoring not only depends on the processing capabilities of the receiver itself, but also requires the data processing capabilities of the background support system to enable real-time analysis and feedback of the signal.

[0113] formula: The benefit of the formula is that the accuracy and stability of signal processing and the actual effect of gain adjustment can be evaluated through the calculated Q value, where: Representative The actual signal output of the measurement is obtained by directly measuring the sensor of the receiver. Represents a preset target signal output, usually set based on environmental conditions and expected performance. is the number of samples, which represents the total number of signal samples collected in a specific time window and can be directly obtained from the metadata of the dataset;

[0114] Calculation process: In one measurement cycle, it is known that , that is, the target signal strength value is measured 100 times The target value is uniformly set to 1.5. It is a reasonable target value determined by analyzing the standard output performance of the equipment, taking into account environmental factors and expected performance. The actual measurement results The values ​​are 1.6, 1.7, 1.65, ..., and the last one is 1.55. Calculate:

[0115]

[0116] After calculation, we get The value is used to evaluate the performance; this result shows the effect of gain adjustment on the performance of the receiver, and can be used to Adjust the gain setting to achieve optimal performance.

[0117] Based on the calculation results of the performance indicator Q, the adaptability and performance of signal processing under different environmental conditions are evaluated, and the final feedback of gain adjustment is obtained. In this way, the stability and reliability of the signal after gain adjustment can be understood in detail. The real-time monitoring and adjustment mechanism allows system operators to adjust the gain settings based on feedback to adapt to changing environmental conditions and ensure good performance in various operating environments. This is critical to ensuring communication quality and reducing errors.

[0118] The steps to update the gain adjustment result are:

[0119] Using the gain adjustment feedback result, set monitoring to continuously monitor the changes of environmental signals and obtain environmental signal data;

[0120] Analyze the monitored environmental signal data, analyze the signal performance, and compare it with the preset performance benchmark to determine whether there is performance degradation;

[0121] If performance degradation is found, immediately repeat the steps to obtain gain adjustment results and update the gain settings to adapt to the current environment changes.

[0122] Specifically, continuously capture environmental signal changes, adjust the acquisition frequency and sensor sensitivity to ensure that tiny signal changes can be captured in real time, and accurately record these data, including key information such as signal strength, frequency and waveform. Detailed records of these data are essential for subsequent analysis. The collected environmental signal data will be systematically classified and stored, ready for further performance evaluation, to ensure that the required information can be quickly extracted from the data, and the comprehensive characteristics of the signal can be monitored in real time, thereby obtaining environmental signal data;

[0123] Refine the analysis of the collected environmental signal data by calculating the statistical characteristics of the signal and the frequency of signal anomalies. These statistical analyses help determine the overall stability and reliability of the signal. These statistical results are compared in detail with the preset performance benchmark to determine whether the signal performance meets the expected standards. Through trend analysis and outlier detection, accurately determine whether the performance has declined;

[0124] To update the gain setting to adapt to the current environmental changes, it is first necessary to re-evaluate the current working status of the receiver and environmental feedback, simulate different gain configurations to predict the possible output of signal processing, select the optimal gain parameters based on the simulation results, and immediately implement gain adjustments. This process requires a rapid response to environmental changes and ensure that the adjustment of the gain setting can be reflected in the performance of the receiver in real time. Measures taken include real-time adjustment of relevant parameters and settings to ensure that the signal processing system can continue to operate stably and meet new performance requirements.

[0125] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An automatic gain control method for intermediate frequency demodulation of a receiver, characterized in that: The following steps are involved: receiving continuous signal strength data through a receiver, recording signal strength values ​​at current and past time points, and generating signal data; Based on the signal data, performing linear regression to calculate the relationship between the signal strength value and the gain adjustment; Continuously monitor the real-time signal, collect signal strength data, and calculate the gain adjustment result according to the relationship between the signal strength value and the gain adjustment; and calculate the mean and variance of the signal strength data to obtain the real-time signal statistical characteristics; combine the real-time signal statistical characteristics with the gain adjustment result, adjust the gain coefficient by gradient descent, and obtain the optimized gain adjustment result; Applying the optimized gain adjustment result to the intermediate frequency demodulation part of the receiver, adjusting the working gain of the receiver in real time, monitoring the signal processing effect after the gain adjustment, analyzing the performance in a dynamic environment, and obtaining the gain adjustment feedback result; Based on the gain adjustment feedback result, continue to monitor the change of the environmental signal, and if performance degradation is detected, immediately update the gain adjustment result; The steps for obtaining the gain adjustment feedback result are: Capture and record the gain-adjusted signal output in real time to form a monitoring data set; Using the monitoring data set, the performance index of the signal output is calculated and the effect of the gain adjustment is analyzed. The calculation formula is: ； in, Represents performance indicators, It is The signal output is is the desired signal output, is the sample size; According to the performance indicators, the performance of the signal processing under each environmental condition is analyzed to obtain the gain adjustment feedback result.

2. The automatic gain control method for intermediate frequency demodulation of a receiver according to claim 1, characterized in that: The steps of acquiring the signal data are as follows: Receive continuous signal strength data through a receiver, record current and past signal strength values, and organize them into a time series to obtain signal data; Based on the signal data, the signal strength value at each time point is smoothed, and the smoothing calculation formula is: ； in, Represents the signal strength value after weighted smoothing, Representative The signal strength at each time point, Representative The weight of each time point, The number of time points represented.

3. The automatic gain control method for receiver intermediate frequency demodulation according to claim 2, characterized in that: The steps to perform a linear regression to calculate the relationship between signal strength values ​​and gain adjustment are: Using the signal data to initialize the input data of the linear regression model to form basic data for linear regression analysis; Based on the linear regression analysis basic data, linear regression is applied to calculate the quantitative relationship between the signal intensity value and the gain adjustment, and the calculation formula is: ； in, Indicates the gain adjustment result, Represents the signal strength, is the intercept term, is the slope term, represents the error term; The gain is adjusted according to the gain adjustment result to complete the gain adjustment.

4. The automatic gain control method for receiver intermediate frequency demodulation according to claim 1, characterized in that: The steps for obtaining the real-time signal statistical characteristics are: Start real-time monitoring of the receiver, continuously record the signal strength at each time point, and form real-time signal strength data; Analyze the real-time signal strength data, calculate statistical indicators, the statistical indicators include the mean and variance of the signal strength at each time point, and obtain detailed signal statistical data; The detailed signal statistical data is integrated to compile a statistical characteristic report of the real-time signal to obtain the statistical characteristics of the real-time signal.

5. The automatic gain control method for receiver intermediate frequency demodulation according to claim 1, characterized in that: The steps for obtaining the optimization gain adjustment result are: Integrating the real-time signal statistical characteristics with the gain adjustment results to form a comprehensive data set; Based on the comprehensive data set, the gradient descent algorithm is applied to optimize the gain adjustment, and the calculation formula is: ； in, is the new gain adjustment result, is the current gain value, is the learning rate, is the gradient of the gain; According to the new gain adjustment result obtained by gradient descent calculation, the gain setting of the receiver is updated to obtain the optimized gain adjustment result.

6. The automatic gain control method for intermediate frequency demodulation of a receiver according to claim 1, characterized in that: The steps to adjust the receiver's operating gain in real time are: Based on the optimized gain adjustment result, configuring an intermediate frequency demodulation portion of the receiver to accommodate a new gain setting; updating the receiver to apply the gain adjustment result to the real-time gain adjustment process; Monitor the adjusted receiver operating gain in real time to verify the effectiveness of the new gain setting and confirm that the receiver output meets the expected performance.

7. The automatic gain control method for receiver intermediate frequency demodulation according to claim 1, characterized in that: The step of updating the gain adjustment result is: Using the gain adjustment feedback result, setting monitoring to continuously monitor changes in environmental signals to obtain environmental signal data; Analyze the monitored environmental signal data, analyze the signal performance, and compare it with the preset performance benchmark to determine whether there is performance degradation; If performance degradation is found, immediately repeat the steps to obtain gain adjustment results and update the gain settings to adapt to the current environment changes.

Images