Microwave radio frequency waveform array optimization method

Abstract

The invention discloses a microwave radio frequency waveform array optimization method, and relates to the technical field of signal processing, and the method comprises the steps: S1, monitoring an original link of a target multi-carrier system in real time, obtaining channel state data from the original link, screening out the channel state data, and marking the channel state data as an abnormal link segment; s2, calculating an antenna gain and a compensation coefficient by using a minimum variance undistorted response method; s3, applying each compensation coefficient to a corresponding abnormal link section to obtain an actual gain value; s4, compensation coefficient numerical value supplementation is carried out on the actual gain values which do not reach the distribution gain values; and S5, marking the abnormal link section reaching the distribution gain value as a correction link section, and reapplying the correction link section to the original link to generate channel correction data. According to the method, the antenna gain and the beam forming are optimized by monitoring in real time and using the MVDR method, so that the system can dynamically adjust the beam direction among a plurality of link sections, and the method has the advantages of reducing beam forming offset and being capable of correcting the system in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of signal processing, and in particular to a microwave radio frequency waveform array optimization method. Background Art

[0002] With the rapid development of wireless communication technology, especially in multi-user systems (such as MIMO systems) and high-frequency band applications, the performance and optimization of microwave RF waveform arrays have become one of the key technologies. In these systems, the accuracy and flexibility of beamforming technology are crucial because it directly affects the signal transmission quality, coverage, spectrum efficiency, and anti-interference ability of the system. Modern communication systems use a variety of modulation modes to improve spectrum efficiency and transmission rate. These modulation modes have very high requirements on signal quality, especially under high-order modulation, the amplitude and phase requirements of the signal are more stringent.

[0003] Due to multi-user interference and beam pointing deviation, beamforming may cause received signal distortion under complex channel conditions. This distortion affects the quality of the modulated signal and causes errors in demodulation. For example, in OFDM systems, insufficient beamforming may not be able to effectively eliminate frequency selective fading or adjacent channel interference. Because signals with different frequency components may be subject to different degrees of change during propagation, the main beam direction of beamforming may be offset. If beamforming fails to fully consider the impact of frequency selective fading, the beam may not be accurately pointed to the target user or interference source, resulting in signal distortion, which in turn causes subcarrier signal distortion and increases demodulation errors and bit error rates. Summary of the invention

[0004] The present invention provides a microwave radio frequency waveform array optimization method to solve the problem that the main beam direction of beamforming is offset due to frequency selective fading in a multi-user system, thereby causing high interference to subcarrier signals.

[0005] The present invention is achieved through the following technical solutions: A microwave radio frequency waveform array optimization method, characterized in that the method comprises: Step S1: real-time monitoring of the original link of the target multi-carrier system and obtaining channel status data therefrom, and preset channel reference data for screening out the original link with frequency fading by segment through numerical comparison and marking it as abnormal link segment; Step S2: Preset the allocated gain value for the antenna gain of each abnormal link segment, calculate the antenna gain of each abnormal link segment using the minimum variance distortion-free response method, and use the antenna gain to calculate the corresponding compensation coefficient in each abnormal link segment; Step S3: applying each compensation coefficient to the corresponding abnormal link segment and obtaining an actual gain value; Step S4: constructing a frequency fading compensation strategy for the allocated gain value, and supplementing the actual gain value that does not reach the allocated gain value with a compensation coefficient value; Step: S5: Mark the abnormal link segment that reaches the allocated gain value as a corrected link segment and reapply it to the original link, mark the channel status data of the corrected original link as channel correction data, compare the channel correction data with the channel reference data, and if there is still an abnormal link segment, mark the abnormal link segment and return to step S2.

[0006] Due to multi-user interference and the offset of beam pointing, beamforming may cause distortion of the received signal under complex channel conditions. This distortion will affect the quality of the modulated signal and cause errors during demodulation. For example, in OFDM systems, due to frequency selective fading or adjacent channel interference, insufficient beamforming may not be able to effectively eliminate these interferences. Because signals with different frequency components may be subject to different degrees of change during propagation, the main beam direction of beamforming may be offset. If beamforming fails to fully consider the impact of frequency selective fading, the beam may not be able to accurately point to the target user or interference source, resulting in signal distortion, thereby causing distortion of the subcarrier signal and increasing demodulation errors and bit error rates. Based on this, the present invention provides a microwave radio frequency waveform array optimization method to solve the problem that the main beam direction of beamforming is offset due to frequency selective fading in a multi-user system, resulting in higher interference to the subcarrier signal.

[0007] Furthermore, the calculation process of the antenna gain of the abnormal link segment includes: assuming that the weight vector of the beamformer in the target multi-carrier system is represented by w, and the conjugate transpose of the weight vector is represented by w H ; Let the array response vector of the target multi-carrier system be denoted as α, the direction angle of the signal arriving at the array from the target signal source be denoted as θ, and let the antenna gain of the target signal arrival direction angle θ be denoted as G, Then the calculation formula of the antenna gain is expressed as: .

[0008] Furthermore, the compensation coefficient is obtained by calculating the difference between the antenna gain and the allocated gain value, and a low-pass filter is used to smooth out high-frequency fluctuations in the channel.

[0009] Furthermore, the calculation process of the weight vector w of the beamformer includes: assuming that the covariance matrix of the received signal of the target multi-carrier system is represented by R, Then the calculation formula of the weight vector w is expressed as: , Then the conjugate transpose of the weight vector w H It is expressed as: .

[0010] The α H (θ) represents the conjugate transpose of the array response vector α(θ), and the R -1 represents the inverse of the covariance matrix.

[0011] Furthermore, the covariance matrix acquisition process includes: decomposing the received signal of the target multi-carrier system into N sample signals along the time axis, wherein the sample signal is represented by y, and the ordinal number of the sample signal is represented by i, Then the calculation formula of the covariance matrix R is expressed as: , Where y(t i ) represents the sample signal received at the i-th moment, and the y H (t i ) represents the sample signal y(t i ) is the conjugate transpose of .

[0012] Furthermore, the content of the frequency fading compensation strategy includes: using a recursive adjustment method to dynamically adjust the compensation coefficient, the process includes calculating the difference gain of the current abnormal link segment, setting a difference threshold for the difference gain, and when the value of the difference gain is less than the difference threshold, it is judged that the compensation of the current abnormal link segment has converged, and the abnormal link segment marking is revoked; if the value of the difference gain is greater than the difference threshold, it is judged that the compensation of the current abnormal link segment has not reached the target and continues to be marked as an abnormal link segment.

[0013] Further, when the value of the difference gain is greater than the difference threshold, the process will return to step S2 and re-execute the compensation coefficient calculation process for a preset number of times. When the compensation of the abnormal link segment still does not reach the target after the maximum number of executions is reached, it is determined that the abnormal link segment cannot complete frequency fading compensation.

[0014] Furthermore, the difference threshold is set using the error tolerance value, and the signal-to-noise ratio value is obtained from the channel state data of the current abnormal link segment; the calculation relationship is set as: difference threshold = error tolerance value = (allocated gain value-actual gain value) / allocated gain value∙(10 / signal-to-noise ratio value), where the allocated gain value is greater than the actual gain value.

[0015] Furthermore, the Rician fading model is used to preset channel reference data, which includes: setting the signal path gain of the original link of the target multi-carrier system, generating a total time domain channel response including a direct path and a scattered path, converting the time domain data of the total time domain channel response into the frequency domain to obtain channel frequency response parameters, and setting the signal data of the channel frequency parameters as the channel reference data.

[0016] Furthermore, each scattering path randomly generates a phase value, and the scattering path delay conforms to Rayleigh distribution.

[0017] Compared with the prior art, the present invention screens out abnormal link segments with frequency fading, monitors in real time, and uses the MVDR method to optimize antenna gain and beamforming, so that the system can dynamically adjust the beam direction between multiple link segments and reduce the impact of signal fading on the main beam. It has the advantages of effectively reducing the beamforming offset caused by frequency fading and being able to correct the system in real time to avoid long-term interference. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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: Figure 1 It is a flowchart of the present invention. DETAILED DESCRIPTION

[0019] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention. Example

[0020] like Figure 1 As shown, this embodiment is a microwave radio frequency waveform array optimization method, characterized in that the method includes: Step S1: real-time monitoring of the original link of the target multi-carrier system and obtaining channel status data therefrom, and preset channel reference data for screening out the original link with frequency fading by segment through numerical comparison and marking it as abnormal link segment; Step S2: Preset the allocated gain value for the antenna gain of each abnormal link segment, calculate the antenna gain of each abnormal link segment using the minimum variance distortion-free response method, and use the antenna gain to calculate the corresponding compensation coefficient in each abnormal link segment; Step S3: applying each compensation coefficient to the corresponding abnormal link segment and obtaining an actual gain value; Step S4: constructing a frequency fading compensation strategy for the allocated gain value, and supplementing the actual gain value that does not reach the allocated gain value with a compensation coefficient value; Step: S5: Mark the abnormal link segment that reaches the allocated gain value as a corrected link segment and reapply it to the original link, mark the channel status data of the corrected original link as channel correction data, compare the channel correction data with the channel reference data, and if there is still an abnormal link segment, mark the abnormal link segment and return to step S2.

[0021] In a multi-carrier system, the original link refers to the channel without any signal processing or compensation. It is a direct transmission path from the signal transmitter to the receiver, which may be affected by various environmental factors, such as frequency selective fading, noise, interference, etc. In this case, the quality and transmission characteristics of the signal have not been optimized or adjusted. As a feasible implementation method, the channel state data may include data content such as frequency response, delay spread, multipath effect, signal-to-noise ratio and phase information in specific applications. Numerical comparison refers to comparing the real-time monitored channel state data with the preset channel reference data to evaluate the difference between them. This comparison means using mathematical methods to measure the gap between the two, and its purpose is to find out whether there are abnormal changes in the channel. For example, if the signal strength, phase or other parameters of the real-time channel deviate significantly from the reference data, it may indicate that the channel has experienced frequency fading or other adverse effects. Segment screening means dividing the channel link into multiple segments (i.e., link segments), each segment representing a part of the link. The link segments are divided according to different characteristics of fading, such as a part with severe fading and a part with less fading. By dividing the channel link into multiple link segments, the system can more accurately locate and analyze the channel quality of each segment. For example, in certain frequency bands or time periods, fading may be very severe, while in other frequency bands or time periods, the signal may still remain relatively good.

[0022] The antenna gain refers to the enhanced ability of the antenna to radiate in a specific direction relative to an ideal antenna, measured in dB. When the link fades, the system adjusts the gain of the antenna to compensate for the signal attenuation, thereby restoring the signal quality. The purpose of the preset allocation gain value is to accurately adjust the gain of the antenna according to the abnormal situation of the link so that the signal can be enhanced as required. The meaning of the allocation gain value refers to the target gain value pre-set for each link segment or each user under specific time and frequency resources. The role of the compensation coefficient is to make up for the difference, so that in the optimization process of all antenna gains, the gain of each link segment can be reasonably adjusted, so that the performance of the overall system is improved. Through the optimization of the compensation coefficient, the system can balance the gain distribution of each antenna and ensure that the gain of the abnormal link segment reaches the preset target value. In the case of multiple antennas, the gain of different antenna units may be different. The compensation coefficient can help balance the gain of each antenna and ensure that the collaborative work of all antennas can maximize the signal strength and reduce interference. The compensation coefficient for each abnormal link segment is calculated by the minimum variance distortionless response (MVDR) method. After applying the compensation coefficient, the system calculates the actual gain value of each link segment. The actual gain value refers to the gain or enhancement of the abnormal link segment signal under the action of the compensation coefficient. The numerical supplementation refers to adjusting the actual gain by increasing the value of the compensation coefficient so that it approaches or reaches the preset distribution gain value. If there are still link segments whose signal quality is lower than the ideal state after correction and does not reach the preset gain or beamforming target, these link segments are re-marked, and the system will re-enter step S2 for further optimization.

[0023] Furthermore, as a feasible implementation method, the Rician fading model is used to preset channel reference data, which includes: setting the signal path gain of the original link of the target multi-carrier system, generating a total time domain channel response including a direct path and a scattered path, converting the time domain data of the total time domain channel response into the frequency domain to obtain the channel frequency response parameters, and setting the signal data of the channel frequency parameters as the channel reference data; each scattered path randomly generates a phase value, and the scattering path delay conforms to the Rayleigh distribution.

[0024] The Rician model contains a significant direct path component, so it can simulate most wireless channels in reality more accurately. The signal path gain of the original link is preset, including the gain of the direct path and the scattered path, to ensure that the signal path gain meets the actual needs of the system and can reflect the propagation characteristics of different links. According to the signals of the direct path and multiple scattered paths, the total time domain channel response is generated by superposition of time domain signals. This step requires detailed modeling of the delay, gain and phase of each path. The time domain channel response is converted into a frequency domain channel response through Fourier transform, because in a multi-carrier system, the signal is usually processed based on the frequency domain, and the frequency response of the channel can reflect the fading characteristics at each frequency point. The frequency response parameters are the frequency response parameters of the channel extracted from the frequency domain data, which may include channel gain, phase offset, etc. in specific applications, which are used to describe the characteristics of the channel at different frequencies. The delay of the scattered path conforms to the Rayleigh distribution, which means that the arrival time of the scattered signal is random and shows fading characteristics; the Rayleigh distribution simulates the time and phase randomness in multipath fading, which helps to simulate the channel environment in reality more accurately.

[0025] Further, as a feasible implementation, the calculation process of the antenna gain of the abnormal link segment includes: assuming that the weight vector of the beamformer in the target multi-carrier system is represented by w, and the conjugate transpose of the weight vector is represented by w H ; Let the array response vector of the target multi-carrier system be denoted as α, the direction angle of the signal arriving at the array from the target signal source be denoted as θ, and let the antenna gain of the target signal arrival direction angle θ be denoted as G, Then the calculation formula of the antenna gain is expressed as: .

[0026] The weight vector w represents a vector containing weight coefficients for each antenna element, which is used to control the gain and phase of each antenna in a multi-antenna system to form a desired beam pattern. The weight vector of the beamformer can be used to achieve directional transmission or reception by proper design. The conjugate transpose of the weight vector w HRepresents the transpose and conjugate used to express complex vectors. It converts the beamformer weighting coefficients into a complex conjugate form for inner product calculation with the array response vector. The array response vector α is a column vector containing the response of the target signal source to the multi-antenna array. This response is usually related to the directional angle of the signal source. The array response vector is calculated based on the array geometry, signal frequency, and the direction of signal arrival. The directional angle of the signal from the target signal source to the array refers to the directional angle of the target signal from the signal source to the antenna array, usually the direction of the signal source relative to the array. By measuring or estimating this angle, the propagation path of the signal from the source to the array can be obtained. The antenna gain is a scalar that represents the gain of the array to the signal when it arrives at the signal source from a specific direction θ. The array response vector α(θ) depends on the arrival angle θ of the signal source and represents the response of the array to the signal in this direction. For a linear array antenna system, the array response vector is usually a function of frequency and antenna array structure. The weight vector conjugate transpose w H The inner product operation is performed with the array response vector α(θ), and the inner product result, that is, the antenna gain G, represents the gain of the target signal passing through the beamformer at the direction angle θ.

[0027] More specifically, the compensation coefficient is obtained by calculating the difference gain between the antenna gain and the allocated gain value, and a low-pass filter is used to smooth out the high-frequency fluctuations in the channel. In a specific implementation, as a feasible specific application, the difference gain is represented as the difference between the allocated gain value and the antenna gain and is expressed as G t Indicates that, assuming the compensation coefficient is ω, the calculation formula of the compensation coefficient ω is expressed as: That is, the antenna gain represents the gain value of each abnormal link segment before compensation, the actual gain value is the gain value after the abnormal link segment implements the compensation coefficient, and the compensation coefficient ω is the compensation coefficient applied to the corresponding abnormal link segment.

[0028] The difference gain G t Represents the difference between the allocated gain value and the antenna gain. The compensation coefficient ω is adjusted by the difference between the allocated gain value and the actual gain value. When the actual gain is lower than the target gain, the compensation coefficient ω is calculated as a value, which can be used to adjust the antenna gain of the system so that the gain is close to the target value. In specific applications, the method of using the compensation coefficient to calculate the actual gain value may include direct multiplication or weighted multiplication. The direct multiplication is to multiply the compensation coefficient of each abnormal link segment by the corresponding calculated antenna gain and then add the result as the compensation gain to the antenna gain to obtain the actual gain value; the weighted multiplication means combining with the parameters in the channel state data as weight indicators, that is, the compensation coefficient is multiplied by the weight indicator and then participates in the subsequent calculation of the actual gain value that is the same as the direct multiplication method.

[0029] Further, as a feasible implementation, the calculation process of the weight vector w of the beamformer includes: assuming that the covariance matrix of the received signal of the target multi-carrier system is represented by R, Then the calculation formula of the weight vector w is expressed as: , Then the conjugate transpose of the weight vector w H It is expressed as: ; The α H (θ) represents the conjugate transpose of the array response vector α(θ), and the R -1 represents the inverse of the covariance matrix.

[0030] The covariance matrix R represents the statistical characteristics of the received signal. It contains the system noise, interference and signal variance. The inverse of the matrix R -1 Describes the inverse correlation of the signal, which can help the beamformer optimize the weights to reduce the impact of noise and interference. The array response vector α(θ) describes the array's response to a signal in a specific direction, including gain and phase information. By using this response vector, the beamformer can focus on the direction of signal reception. The calculation of the weight vector w is to combine the covariance matrix R of the received signal and the array response vector α(θ) of the target signal to generate an optimized weight that maximizes signal gain and suppresses interference. α H (θ)⋅R −1 The ⋅α(θ) part represents the "energy" of the signal in the target direction, that is, the weighted result of the array response vector α(θ) on the signal covariance matrix. This term ensures the correct normalization of the weight vector so that no excessive or insufficient gain is generated during the optimization process. The weight vector w after conjugate transposition H It still contains the inverse information of the covariance matrix, ensuring the maximization of the signal gain, and its function is to achieve proper reception of the signal by adjusting the phase. When the signal is transmitted, the allocated gain value may be different from the actual gain value. This difference is usually caused by multipath fading, interference or other channel effects. The compensation coefficient represents the difference gain between the allocated gain value and the actual gain value. The compensation coefficient is usually adjusted by correcting the actual gain value to approach the allocated gain value.

[0031] Further, as a feasible implementation, the covariance matrix acquisition process includes: decomposing the received signal of the target multi-carrier system into N sample signals along the time axis, the sample signal is represented by y, and the ordinal number of the sample signal is represented by i, Then the calculation formula of the covariance matrix R is expressed as: , Where y(t i) represents the sample signal received at the i-th moment, and the y H (t i ) represents the sample signal y(t i ) is the conjugate transpose of .

[0032] The covariance matrix R is a tool for describing the statistical characteristics of a signal. It reflects the correlation between signals received at different time points or by different antennas in the system and is usually used to represent signal power, noise, interference, etc. The received signal of the target multi-carrier system is decomposed into N sample signals y(t i ), each sample signal represents the i The sample signals are discretized representations of the time series signals, and each sample contains the complex value of the signal at a certain moment. The complex part of the signal is conjugated and transposed to prepare for the subsequent inner product calculation. For a multi-carrier system, the covariance matrix can describe the coherence between different subcarriers or time points.

[0033] Furthermore, as a feasible implementation method, the content of the frequency fading compensation strategy includes: using a recursive adjustment method to dynamically adjust the compensation coefficient, the process includes calculating the difference gain of the current abnormal link segment, setting a difference threshold for the difference gain, and when the value of the difference gain is less than the difference threshold, it is determined that the compensation of the current abnormal link segment has converged, and the abnormal link segment is revoked; if the value of the difference gain is greater than the difference threshold, it is determined that the compensation of the current abnormal link segment has not reached the target and continues to be marked as an abnormal link segment.

[0034] The core goal of the frequency fading compensation strategy is to ensure that the abnormal link segment with fading in the channel can be effectively compensated and eventually restored to a normal state by dynamically adjusting the compensation coefficient. The introduction of the recursive adjustment method enables the compensation process to be adaptively adjusted when the channel state changes, thereby improving the compensation efficiency and system performance. The difference threshold is a standard used to determine whether the current compensation has reached the expected target gain value. When the value of the difference gain is less than the difference threshold, it is considered that the compensation has converged and the signal gain has recovered to the expected level; when the difference gain is greater than the difference threshold, it is considered that the compensation has not been completed and needs to be adjusted further. If the difference gain is less than the difference threshold, it means that the compensation coefficient has effectively adjusted the signal gain, and the error is small enough. It can be considered that the compensation of the abnormal link segment has converged and the marking can be revoked. If the difference gain is greater than the difference threshold, it means that the signal gain has not reached the target value, the compensation of the abnormal link segment has not been completed, and the compensation coefficient needs to be adjusted further and the abnormal link segment needs to be marked further. The recursive adjustment method is the core of the compensation strategy; the characteristic of this method is that the compensation coefficient is dynamically adjusted according to the result after each compensation, and the compensation effect is re-evaluated after each adjustment. By comparing the difference gain with the difference threshold, the compensation coefficient is dynamically adjusted to ensure that the signal gain reaches the target value and adapts to channel changes.

[0035] Furthermore, as a feasible implementation method, when the value of the difference gain is greater than the difference threshold, the process of calculating the compensation coefficient will be returned to step S2 to be re-executed for a preset number of times. When the compensation of the abnormal link segment still fails to reach the target after the maximum number of executions is reached, it is determined that the abnormal link segment cannot complete the frequency fading compensation; the difference threshold is set using the error tolerance value, and the signal-to-noise ratio value is obtained from the channel state data of the current abnormal link segment; the calculation relationship is set as: difference threshold = error tolerance value = (allocated gain value-actual gain value) / allocated gain value∙(10 / signal-to-noise ratio value), where the allocated gain value is greater than the actual gain value.

[0036] If the abnormal link segment cannot converge through multiple compensations, the system can avoid falling into an invalid calculation loop, saving resources and calculation time to prevent falling into infinite iterations. If the goal is not achieved after multiple compensation attempts, there may be other hardware or signal problems. The system can make timely judgments and take other measures, such as changing the transmission strategy or switching links, to improve system stability. When the maximum number of executions is reached, the system will stop the compensation process and determine that the abnormal link segment cannot effectively complete the frequency fading compensation, thereby avoiding invalid resource consumption. The error tolerance value (Tolerance) is used to define the error range allowed by the system during the compensation process, reflecting the system's tolerance for gain differences. The size of the error tolerance value directly affects the strictness of the compensation strategy. Setting a suitable error tolerance value can ensure that the system can still maintain a certain compensation effect when the signal fades severely, while avoiding overcompensation. The difference between the assigned gain value and the actual gain value reflects the compensation requirement of the current link, that is, the difference between the actual gain and the target gain. If the difference is large, stronger compensation is required. The signal-to-noise ratio (SNR) is an important parameter that affects signal quality. A higher SNR indicates a stronger signal and less noise, so the system can tolerate smaller differences. Conversely, a lower SNR indicates a weaker signal and greater noise, so the system requires more stringent compensation, that is, a smaller difference threshold. The difference threshold adapts to different signal qualities by adjusting the signal-to-noise ratio, ensuring that the compensation effect is more strictly controlled when the signal quality is poor. During the compensation process, when the difference gain is greater than the set difference threshold, the system will re-enter step S2 to recalculate the compensation coefficient. If the number of executions does not reach the maximum limit, the system will continue to make compensation adjustments until the difference gain is less than the difference threshold or the maximum number of executions is reached. During each compensation process, the signal-to-noise ratio will affect the setting of the error tolerance, so the difference threshold will be dynamically adjusted to ensure that effective compensation can continue when the signal quality is poor. By introducing error tolerance, difference threshold and recursive adjustment method, combined with the maximum number of executions, frequency fading compensation can be adaptively adjusted in a variable channel environment, optimize system performance and reduce unnecessary computational consumption. By dynamically adjusting the difference threshold based on the signal-to-noise ratio, the compensation strategy can flexibly respond to changes in different signal qualities, thereby improving the stability and fault tolerance of the system.

[0037] 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. A microwave radio frequency waveform array optimization method, characterized in that: The method includes: Step S1: real-time monitoring of the original link of the target multi-carrier system and obtaining channel status data therefrom, and preset channel reference data for screening out the original link with frequency fading by segment through numerical comparison and marking it as abnormal link segment; Step S2: Preset the allocated gain value for the antenna gain of each abnormal link segment, calculate the antenna gain of each abnormal link segment using the minimum variance distortion-free response method, and use the antenna gain to calculate the corresponding compensation coefficient in each abnormal link segment; Step S3: applying each compensation coefficient to the corresponding abnormal link segment and obtaining an actual gain value; Step S4: constructing a frequency fading compensation strategy for the allocated gain value, and supplementing the actual gain value that does not reach the allocated gain value with a compensation coefficient value; Step: S5: Mark the abnormal link segment that reaches the allocated gain value as a corrected link segment and reapply it to the original link, mark the channel status data of the corrected original link as channel correction data, compare the channel correction data with the channel reference data, and if there is still an abnormal link segment, mark the abnormal link segment and return to step S2.

2. A microwave radio frequency waveform array optimization method according to claim 1, characterized in that: The calculation process of the antenna gain of the abnormal link segment includes: assuming that the weight vector of the beamformer in the target multi-carrier system is represented by w, and the conjugate transpose of the weight vector is represented by w H ; Let the array response vector of the target multi-carrier system be denoted as α, the direction angle of the signal arriving at the array from the target signal source be denoted as θ, and let the antenna gain of the target signal arrival direction angle θ be denoted as G, Then the calculation formula of the antenna gain is expressed as: .

3. A microwave radio frequency waveform array optimization method according to claim 2, characterized in that: The compensation coefficient is obtained by calculating the difference between the antenna gain and the allocated gain value, and a low-pass filter is used to smooth out high-frequency fluctuations in the channel.

4. A microwave radio frequency waveform array optimization method according to claim 2, characterized in that: The calculation process of the weight vector w of the beamformer includes: assuming that the covariance matrix of the received signal of the target multi-carrier system is represented by R, Then the calculation formula of the weight vector w is expressed as: , Then the conjugate transpose of the weight vector w H It is expressed as: ; The α H (θ) represents the conjugate transpose of the array response vector α(θ), and the R -1 represents the inverse of the covariance matrix.

5. A microwave radio frequency waveform array optimization method according to claim 4, characterized in that: The covariance matrix acquisition process includes: decomposing the received signal of the target multi-carrier system into N sample signals along the time axis, wherein the sample signal is represented by y, and the ordinal number of the sample signal is represented by i, Then the calculation formula of the covariance matrix R is expressed as: , Where y(t i ) represents the sample signal received at the i-th moment, and the y H (t i ) represents the sample signal y(t i ) is the conjugate transpose of .

6. A microwave radio frequency waveform array optimization method according to claim 3, characterized in that: The content of the frequency fading compensation strategy includes: using a recursive adjustment method to dynamically adjust the compensation coefficient, and the process includes: calculating the difference gain of the current abnormal link segment, setting a difference threshold for the difference gain, and when the value of the difference gain is less than the difference threshold, it is judged that the compensation of the current abnormal link segment has converged, and the abnormal link segment is revoked; if the value of the difference gain is greater than the difference threshold, it is judged that the compensation of the current abnormal link segment has not reached the target and continues to be marked as an abnormal link segment.

7. A microwave radio frequency waveform array optimization method according to claim 6, characterized in that: When the value of the difference gain is greater than the difference threshold, the process will return to step S2 and re-execute the compensation coefficient calculation process for a preset number of times. When the compensation of the abnormal link segment still fails to reach the target after the maximum number of executions is reached, it is determined that the abnormal link segment cannot complete frequency fading compensation.

8. A microwave radio frequency waveform array optimization method according to claim 6, characterized in that: The difference threshold is set using the error tolerance value, and the signal-to-noise ratio value is obtained from the channel state data of the current abnormal link segment; the calculation relationship is set as follows: difference threshold = error tolerance value = (allocated gain value - actual gain value) / allocated gain value ∙ (10 / signal-to-noise ratio value), where the allocated gain value is greater than the actual gain value.

9. The microwave radio frequency waveform array optimization method according to claim 1, characterized in that: The channel reference data is preset using the Rician fading model, which includes: setting the signal path gain of the original link of the target multi-carrier system, generating a total time domain channel response including a direct path and a scattered path, converting the time domain data of the total time domain channel response into the frequency domain to obtain the channel frequency response parameters, and setting the signal data of the channel frequency parameters as the channel reference data.

10. A microwave radio frequency waveform array optimization method according to claim 9, characterized in that: Each scattering path randomly generates a phase value, and the scattering path delay conforms to the Rayleigh distribution.

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