High-speed signal acquisition system and acquisition method

Abstract

The invention discloses a high-speed signal acquisition system and a high-speed signal acquisition method, relates to the technical field of signal acquisition, and aims at evaluating the communication performance of a wireless communication signal in real time after dynamically adjusting spectrum resources by introducing a comparison evaluation mechanism of a comprehensive evaluation value Ftotal and a performance threshold F1, and executing secondary optimization according to an evaluation result. And when the comprehensive evaluation value Ftotal is lower than a performance threshold value F1, the system triggers a secondary spectrum resource dynamic adjustment mechanism, and interference is ensured to be effectively suppressed by further optimizing the spectrum void V and the signal power Pout. If the performance improvement difference value F is greater than or equal to 0, the optimization effect is good, and the system can continue to maintain the current setting; and if the performance improvement difference value F is less than 0, the system is continuously optimized through an iteration mechanism until ideal communication quality is achieved. The multi-time optimization mechanism ensures that the quality of wireless communication signal acquisition is continuously improved in a complex communication environment.

Description

Technical Field

[0001] The present invention relates to the technical field of signal acquisition, and in particular to a high-speed signal acquisition system and acquisition method. Background Art

[0002] High-speed signal acquisition methods belong to the field of wireless communications, which is a vital part of information technology. In particular, in applications such as mobile communications, satellite communications, and the Internet of Things (IoT), the acquisition, transmission, and processing of communication signals play a core role. With the development of wireless communication technology, the management and optimization of spectrum resources have become increasingly complex. In particular, the requirements for high speed, large capacity, and low latency in 5G and future 6G networks have brought higher demands on signal acquisition technology. Traditional signal acquisition methods mostly rely on static spectrum allocation and fixed power adjustment, but in a highly dynamic wireless communication environment, these methods cannot meet the requirements of real-time and accurate capture of signal interference, adjustment of spectrum and power allocation. Therefore, how to dynamically optimize the signal acquisition process in wireless communications and improve interference suppression capabilities has become a key technical challenge in this field.

[0003] At present, wireless communication signal acquisition methods generally rely on fixed spectrum allocation and static power adjustment strategies, which leads to low signal acquisition efficiency and uneven spectrum resource utilization in high-interference environments, and even affects signal stability and quality. Especially when spectrum resources are scarce, the signal interference problem is particularly serious. Traditional methods are often unable to respond to changes in spectrum resources in real time, and it is difficult to achieve fine control of different interference sources. This limitation makes the communication system vulnerable to high-intensity interference, resulting in problems such as signal packet loss, increased latency, and decreased communication quality. Especially in scenarios with large-scale user access and high-speed communications, the signal interference problem becomes more prominent, and there is an urgent need for an acquisition method that can dynamically adjust the spectrum and signal power to improve the overall performance of the system. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a high-speed signal acquisition system and acquisition method, which solve the problems mentioned in the background technology.

[0005] To achieve the above objectives, the present invention is implemented by the following technical scheme: comprising the following steps: S1. Installing signal acquisition equipment at a wireless communication base station to collect wireless communication signals in real time, and performing spectrum analysis on the wireless communication signals to extract signal data, and then performing feature extraction on the signal data to obtain a signal feature vector set; S2. Calculate and output the interference evaluation value D of the i-th wireless communication signal at time t based on the acquired signal feature vector set. i(t), and preset the abnormal threshold T, and the interference evaluation value D of the i-th wireless communication signal at time t i (t) performing a preliminary comparative evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; S3. After preliminary comparison and evaluation to find that an interference anomaly exists, a dynamic adjustment mechanism of spectrum resources is executed, wherein the dynamic adjustment mechanism of spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism; S4. After the interference source optimization mechanism is executed, a summary calculation is performed to output a comprehensive evaluation value Ftotal, and a performance threshold F1 is set at the same time. Then, the performance threshold F1 and the comprehensive evaluation value Ftotal are used for performance evaluation to analyze the communication status of the wireless communication signal; S5. If the performance evaluation shows that the communication state of the wireless communication signal is abnormal, the dynamic adjustment mechanism of the spectrum resources is executed for a second time, and the second comprehensive evaluation value Ftotal2 is calculated and output for a second time. The second comprehensive evaluation value Ftotal2 is then differentially calculated with the comprehensive evaluation value Ftotal to obtain the performance improvement difference value △F, and a second comparative evaluation is performed based on the output result of the performance improvement difference value △F, and an iterative mechanism is generated based on the evaluation result.

[0006] Preferably, said S1 includes S11 and S12; S11, by installing a signal acquisition device in the wireless communication mechanism and setting the acquisition frequency of the signal acquisition device to 10000 Hz / s, a number of wireless communication signals are collected in real time, and spectrum analysis is performed on all wireless communication signals to obtain signal data; The signal data includes the wireless communication signal frequency f; S12, performing feature extraction based on the acquired signal data to obtain a signal feature vector set; The signal feature vector set includes the power spectrum density S(f, t) at time t and wireless communication signal frequency f, the periodic strength P(t) of the wireless communication signal at time t, and the phase noise Xh(t) of the wireless communication signal at time t; The power spectrum density S (f, t) at the time t and the wireless communication signal frequency f is converted from a time domain signal to a frequency domain feature by Fourier transform, and then the energy distribution in the frequency domain is analyzed and obtained. The specific algorithm formula is: ; Wherein, T represents the time length of the wireless communication signal observation window, and X(f, t) represents the Fourier transform result of the wireless communication signal at time t and the wireless communication signal frequency f; The periodic strength P(t) of the wireless communication signal at the time t is calculated and extracted based on the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ; Wherein, f1 represents the lower frequency limit, f2 represents the upper frequency limit, f1 and f2 together constitute the frequency band [f1, f2] of the wireless communication signal, and df represents the frequency micro-integral variable; The phase noise intensity Xh(t) of the wireless communication signal at the time t is obtained by analyzing the phase change of the wireless communication signal in the time domain based on the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ;in, represents the ratio of pi, which is 3.14. dS(f, t) represents the small change in the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. dt represents the small change in time. It represents the rate of change of the power spectrum density of wireless communication signals over time.

[0007] Preferably, S2 includes S21 and S22; S21, performing dimensionless processing based on the periodic strength P(t) of the wireless communication signal at time t and the phase noise strength Xh(t) of the wireless communication signal at time t in the signal feature vector set, and combining the periodic strength P(t) of the wireless communication signal at time t and the phase noise strength Xh(t) of the wireless communication signal at time t to obtain the interference evaluation value D of the i-th wireless communication signal at time t i (t), to quantify the interference of wireless communication signals; The interference evaluation value D of the i-th wireless communication signal at time t i (t) Calculate the output using the following algorithm formula; ; Where D i (t) represents the interference evaluation value of the i-th wireless communication signal at time t, and represent the weight values ​​of the wireless communication signal periodicity strength P and the wireless communication signal phase noise strength Xh, respectively, and + =1, the specific value is set by the user.

[0008] Preferably, S22, setting an abnormal threshold T based on the allowable interference range specified in the wireless communication standard, and then comparing the abnormal threshold T with the interference assessment value D of the i-th wireless communication signal at time t. i (t) Conduct preliminary comparative assessment to determine the interference situation of all wireless communication signals. The specific assessment contents are as follows; When the interference evaluation value D of the i-th wireless communication signal at time t iWhen (t)>abnormal threshold T, it indicates that the interference of the i-th wireless communication signal is abnormal, and the dynamic adjustment mechanism of spectrum resources is triggered; When the interference evaluation value D of the i-th wireless communication signal at time t i When (t) ≤ abnormal threshold T, it means that the i-th wireless communication signal interference is within the allowable interference range, and no intervention is required to continue monitoring.

[0009] Preferably, said S3 includes S31 and S32; S31. After preliminary comparison and evaluation shows that the wireless communication signal has interference anomaly, automatically triggering a dynamic adjustment mechanism for spectrum resources, wherein the dynamic adjustment mechanism for spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism; The dynamic spectrum allocation mechanism calculates and outputs the spectrum hole V according to the power spectrum density S (f, t) at the time t when the signal feature vector is concentrated and the frequency f of the wireless communication signal, and analyzes the unoccupied area in the spectrum; The spectrum voidness V is calculated and outputted by the following algorithm formula; ; In the formula, Smax represents the upper limit of the signal power spectrum density, f1 represents the lower limit of the frequency, f2 represents the upper limit of the frequency, and df represents the frequency micro-integral variable; Based on the spectrum hole degree V, combined with the interference evaluation value D of the i-th wireless communication signal at time t i (t), calculate and output the adjusted spectrum voidness Vadj, and dynamically adjust the voidness; The adjusted spectrum void degree Vadj is calculated and outputted by the following algorithm formula; ; In the formula, According to the interference evaluation value D of the i-th wireless communication signal at time t i (t) The adjustment amount for dynamic calculation, Represents the adjustment function.

[0010] Preferably, S32, the power adjustment suppression mechanism dynamically adjusts the power of the wireless communication signal by calculating the output adjustment signal power Pout after the dynamic spectrum allocation mechanism is executed, thereby suppressing signal interference; The adjustment signal power Pout is output through the following algorithm formula; ; Wherein, Pin(t) represents the output power of the wireless communication signal at time t before adjustment.

[0011] Preferably, said S4 includes S41 and S42; S41, after the dynamic adjustment mechanism of spectrum resources is executed, the signal feature vector set is collected and extracted again, and the comprehensive evaluation value Ftotal is output by comprehensive calculation in combination with the adjustment of spectrum hole degree Vadj and the adjustment of signal power Pout, and the effect of the collection after the dynamic adjustment of wireless communication signal is analyzed; The comprehensive evaluation value Ftotal is calculated and output by the following algorithm formula; ; In the formula, t1 represents the lower limit of time, t2 represents the upper limit of time, and dt represents the small change in time.

[0012] Preferably, S42, setting a performance threshold F1 based on the communication performance standard of the wireless communication signal, performing performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal, analyzing the interference situation of the wireless communication signal collection after optimization after the dynamic spectrum allocation mechanism is executed, and the specific evaluation content is as follows; When the comprehensive evaluation value Ftotal ≥ the performance threshold F1, it means that after the dynamic adjustment mechanism of spectrum resources is executed, the wireless communication signal collection is abnormally affected by interference, and the dynamic adjustment mechanism of spectrum resources is executed again at this time; When the comprehensive evaluation value Ftotal is less than the performance threshold F1, it means that after the dynamic adjustment mechanism of the spectrum resources is executed, the wireless communication signal collection is normally affected by the interference, and the current spectrum resource allocation is maintained at this time.

[0013] Preferably, said S5 includes S51 and S52; S51, after executing the dynamic adjustment mechanism of spectrum resources for a second time, execute S41 for a second time, calculate and output the second comprehensive evaluation value Ftotal2, then perform difference calculation between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal, obtain the performance improvement difference value △F, analyze the secondary optimization situation, and the specific algorithm formula is: △F=Ftotal2-Ftotal; S52, performing a secondary comparative evaluation analysis based on the output result of the performance improvement difference value △F, analyzing the optimization situation, and generating an iteration mechanism based on the evaluation result. The specific evaluation contents are as follows; If the performance improvement difference value △F ≥ 0, it means that after the dynamic adjustment mechanism of spectrum resources is completed, the wireless communication signal acquisition optimization is normal, and no intervention is required to continue monitoring; If the performance improvement difference value △F is less than 0, it means that after the dynamic adjustment mechanism of spectrum resources is completed, the wireless communication signal acquisition optimization is abnormal. At this time, an iteration mechanism is generated until the wireless communication signal acquisition optimization stops iteration normally.

[0014] A high-speed signal acquisition system, comprising a signal acquisition and feature extraction module, a signal interference monitoring module, a distribution and suppression module, a comprehensive performance analysis module and an iterative optimization module; The signal acquisition and feature extraction module collects wireless communication signals in real time by installing signal acquisition equipment in the wireless communication base station, performs spectrum analysis on the wireless communication signals, extracts signal data, and extracts features from the signal data to obtain a signal feature vector set; The signal interference monitoring module calculates and outputs the interference evaluation value D of the i-th wireless communication signal at time t based on the acquired signal feature vector set. i (t), and preset the abnormal threshold T, and the interference evaluation value D of the i-th wireless communication signal at time t i (t) performing a preliminary comparative evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; After the allocation and suppression module preliminarily compares and evaluates the existence of abnormal interference, it executes a dynamic adjustment mechanism of spectrum resources, and the dynamic adjustment mechanism of spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism; The comprehensive performance analysis module performs summary calculation and outputs a comprehensive evaluation value Ftotal after the interference source optimization mechanism is executed, and sets a performance threshold F1, and performs performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal to analyze the communication status of the wireless communication signal; The iterative optimization module executes the dynamic adjustment mechanism of spectrum resources for a second time when the performance evaluation shows that the communication state of the wireless communication signal is abnormal, and calculates and outputs the second comprehensive evaluation value Ftotal2 for a second time, and then calculates the difference between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal to obtain the performance improvement difference value △F, and performs a second comparative evaluation based on the output result of the performance improvement difference value △F, and generates an iterative mechanism based on the evaluation result.

[0015] The present invention provides a high-speed signal acquisition system and acquisition method, which have the following beneficial effects: (1) This method installs signal acquisition equipment at a wireless communication base station and sets its acquisition frequency to 10,000 Hz / s to collect wireless communication signals in real time and perform spectrum analysis to obtain signal data. By extracting a set of signal feature vectors including power spectrum density, periodic intensity, and phase noise, the present invention can accurately reflect the characteristics of the signal in the time and frequency domains and conduct real-time evaluation of the interference of the signal. This method can effectively improve the acquisition accuracy of wireless communication signals, ensure timely response to signal interference, provide a scientific basis for subsequent dynamic adjustment of spectrum resources, and avoid interference affecting communication quality.

[0016] (2) This method automatically triggers a dynamic adjustment mechanism for spectrum resources after evaluating interference anomalies. Specifically, the system first calculates the spectrum void V to identify unoccupied areas in the spectrum, and optimizes the signal transmission frequency band through a dynamic spectrum allocation mechanism to reduce the impact of interference sources. Combined with the power adjustment suppression mechanism, the system can adjust the power consumption according to the interference evaluation value D. i (t) Adjust the signal power Pout to effectively reduce the impact of high-intensity interference and improve communication quality. This mechanism ensures that wireless communication signals can be transmitted on a relatively clean frequency band, thereby improving communication stability and data transmission speed and reducing interference with communication signals.

[0017] (3) This method introduces a comparative evaluation mechanism between the comprehensive evaluation value Ftotal and the performance threshold F1. After the spectrum resources are dynamically adjusted, the communication performance of the wireless communication signal is evaluated in real time, and secondary optimization is performed based on the evaluation results. When the comprehensive evaluation value Ftotal is lower than the performance threshold F1, the system triggers the secondary spectrum resource dynamic adjustment mechanism to further optimize the spectrum voidness V and signal power Pout to ensure that interference is effectively suppressed. If the performance improvement difference value △F≥0, it means that the optimization effect is good and the system can continue to maintain the current settings; if △F<0, the system continues to optimize through an iterative mechanism until the ideal communication quality is achieved. This multiple optimization mechanism ensures that the quality of wireless communication signal acquisition is continuously improved in a complex communication environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of the steps of a high-speed signal acquisition method of the present invention; Figure 2 The figure is a schematic flow chart of a high-speed signal acquisition system of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] Example 1 See also Figure 1 The present invention provides a high-speed signal acquisition method. To achieve the above purpose, the present invention is implemented by the following technical scheme: comprising the following steps: S1. Installing signal acquisition equipment at a wireless communication base station to collect wireless communication signals in real time, and performing spectrum analysis on the wireless communication signals to extract signal data, and then performing feature extraction on the signal data to obtain a signal feature vector set; S2. Calculate and output the interference evaluation value D of the i-th wireless communication signal at time t based on the acquired signal feature vector set. i (t), and preset the abnormal threshold T, and the interference evaluation value D of the i-th wireless communication signal at time t i (t) Perform preliminary comparison and evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; S3. After preliminary comparison and evaluation to find the existence of abnormal interference, a dynamic adjustment mechanism of spectrum resources is executed. The dynamic adjustment mechanism of spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism. S4. After the interference source optimization mechanism is executed, a summary calculation is performed to output a comprehensive evaluation value Ftotal, and a performance threshold F1 is set at the same time. The performance threshold F1 and the comprehensive evaluation value Ftotal are then used for performance evaluation to analyze the communication status of the wireless communication signal; S5. If the performance evaluation shows that the communication state of the wireless communication signal is abnormal, the dynamic adjustment mechanism of the spectrum resources is executed for a second time, and the second comprehensive evaluation value Ftotal2 is calculated and output for a second time. The second comprehensive evaluation value Ftotal2 is then differentially calculated with the comprehensive evaluation value Ftotal to obtain the performance improvement difference value △F, and a second comparative evaluation is performed based on the output result of the performance improvement difference value △F, and an iterative mechanism is generated based on the evaluation result.

[0021] In this embodiment, the method collects wireless communication signals in real time by installing signal acquisition equipment in the wireless communication base station, and performs spectrum analysis on the signals to extract signal data. Then, the signal data is used to extract features to obtain a feature vector set of the signal. Based on the extracted signal feature vector set, the interference assessment value D of each wireless communication signal at a specific time is calculated and output. i(t), and compare and evaluate it with the preset abnormal threshold T to determine the interference of the wireless communication signal. When an interference anomaly is detected, the dynamic adjustment mechanism of spectrum resources will be automatically executed, including two links: dynamic spectrum allocation and power adjustment suppression. The dynamic adjustment mechanism of spectrum resources finds unoccupied spectrum areas through the analysis of spectrum voidness V, thereby optimizing spectrum allocation and reducing signal interference. The power adjustment suppression mechanism further reduces the impact of interference by dynamically adjusting the power of wireless communication signals to ensure signal quality and stability. After the dynamic adjustment of spectrum resources is completed, the adjusted signal situation will be summarized and evaluated, and the comprehensive evaluation value Ftotal will be calculated and compared with the performance threshold F1. If the evaluation result shows that the communication status is abnormal, a secondary dynamic adjustment will be performed, and the performance improvement difference value △F will be obtained by recalculating the second comprehensive evaluation value Ftotal2 and performing a difference calculation with the original comprehensive evaluation value Ftotal. If △F is a positive value, it means that the optimization effect is good. If it is a negative value, the iterative mechanism will continue to be executed and optimized again until the best communication effect is achieved. At the same time, through the real-time collection and analysis of signal characteristics, interference in wireless communication signals can be discovered in a timely manner, avoiding damage to communication signals and affecting data transmission. The dynamic spectrum allocation and power adjustment suppression mechanism effectively reduces the impact of interference signals on communications, optimizes the spectrum usage of wireless communications, and improves the transmission quality and stability of signals. Through comprehensive evaluation and secondary optimization strategies, it ensures that wireless communication signals can be continuously optimized in a dynamic environment, avoiding the long-term negative impact of interference sources on communications, and ensuring the continuous improvement of signal quality.

[0022] Example 2 Specifically: S1 includes S11 and S12; S11, by installing a signal acquisition device in the wireless communication mechanism and setting the acquisition frequency of the signal acquisition device to 10000 Hz / s, a number of wireless communication signals are collected in real time, and spectrum analysis is performed on all wireless communication signals to obtain signal data; The signal data includes the wireless communication signal frequency f; S12, performing feature extraction based on the acquired signal data to obtain a signal feature vector set; The signal feature vector set includes the power spectrum density S(f, t) at time t and wireless communication signal frequency f, the periodic strength P(t) of the wireless communication signal at time t, and the phase noise Xh(t) of the wireless communication signal at time t; The power spectrum density S (f, t) at time t and wireless communication signal frequency f is converted from a time domain signal to a frequency domain feature through Fourier transform, and then the energy distribution in the frequency domain is analyzed and obtained. The specific algorithm formula is: ; Wherein, T represents the time length of the wireless communication signal observation window, and X(f, t) represents the Fourier transform result of the wireless communication signal at time t and the wireless communication signal frequency f; The periodic strength P(t) of the wireless communication signal at time t is calculated and extracted based on the power spectrum density S(f, t) at time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ; Wherein, f1 represents the lower frequency limit, f2 represents the upper frequency limit, and f1 and f2 together constitute the frequency band [f1, f2] of the wireless communication signal. df represents a frequency-dependent small integral variable, which is used to measure the periodicity of a signal, especially a repetitive interference pattern; The phase noise intensity Xh(t) of the wireless communication signal at time t is analyzed by the power spectrum density S(f, t) at time t and the frequency f of the wireless communication signal. The phase change of the wireless communication signal in the time domain is analyzed. Especially in high-frequency communication, the interference signal has a greater impact on the phase. The specific algorithm formula is: ;in, represents the ratio of pi, which is 3.14. dS(f, t) represents the small change in the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. dt represents the small change in time. It represents the rate of change of the power spectrum density of wireless communication signals over time.

[0023] In this embodiment, the method collects multiple wireless communication signals in real time and performs spectrum analysis by installing signal acquisition equipment in a wireless communication base station and setting a high sampling frequency of 10000hz / s. Signal data includes key parameters such as signal frequency, power spectrum density, periodicity intensity and phase noise, and then converts the signal from the time domain to the frequency domain through Fourier transform to analyze the energy distribution and interference characteristics of the signal. By extracting a signal feature vector set, including the power spectrum density S(f,t) at time t, the periodicity intensity P(t) and the phase noise Xh(t), the interference pattern, periodic change and phase noise influence of the signal are further understood, especially in high-frequency communication, the influence of interference on signal transmission can be effectively identified. Through precise feature extraction, the method can monitor the quality and interference status of the signal in real time, and then provide accurate data support for the subsequent dynamic adjustment of spectrum resources. The effect of implementing this method is significant. It can improve the signal quality of wireless communication, reduce the impact of interference, and optimize the allocation and power adjustment of spectrum resources through a comprehensive analysis of signal characteristics. Based on high-speed signal acquisition and spectrum analysis, the present invention can provide more accurate interference assessment, ensuring that the stability and efficiency of signal transmission are optimized in different communication environments. Through the accurate calculation of the periodic strength and phase noise of wireless communication signals, the present invention effectively enhances the ability to identify high-frequency signal interference, improves the accuracy of spectrum management, and optimizes the quality of wireless signals in interference environments, thereby achieving a significant improvement in communication performance.

[0024] Example 3 Specifically: S2 includes S21 and S22; S21, performing dimensionless processing on the periodic strength P(t) of the wireless communication signal at time t and the phase noise strength Xh(t) of the wireless communication signal at time t in the signal feature vector set, and combining the periodic strength P(t) of the wireless communication signal at time t and the phase noise strength Xh(t) of the wireless communication signal at time t to obtain the interference evaluation value D of the i-th wireless communication signal at time t i (t), to quantify the interference of wireless communication signals; Interference evaluation value D of the i-th wireless communication signal at time t i (t) Calculate the output using the following algorithm formula; ; Where D i (t) represents the interference evaluation value of the i-th wireless communication signal at time t, and represent the weight values ​​of the wireless communication signal periodicity strength P and the wireless communication signal phase noise strength Xh, respectively, and + =1, the specific value is set by the user.

[0025] S22, setting an abnormal threshold T based on the allowable interference range specified in the wireless communication standard, and then comparing the abnormal threshold T with the interference evaluation value D of the i-th wireless communication signal at time t. i (t) Conduct preliminary comparative assessment to determine the interference situation of all wireless communication signals. The specific assessment contents are as follows; When the interference evaluation value D of the i-th wireless communication signal at time t i When (t)>abnormal threshold T, it indicates that the interference of the i-th wireless communication signal is abnormal, and the dynamic adjustment mechanism of spectrum resources is triggered; When the interference evaluation value D of the i-th wireless communication signal at time t i When (t) ≤ abnormal threshold T, it means that the i-th wireless communication signal interference is within the allowable interference range, and no intervention is required to continue monitoring.

[0026] In this embodiment, the method performs dimensionless processing on the periodicity intensity P(t) and the phase noise intensity Xh(t) in the signal feature vector set, and combines these two features to calculate the interference evaluation value D of the i-th wireless communication signal at time t. i (t), to achieve quantitative analysis of wireless communication signal interference. In the calculation formula of the interference evaluation value, the weight values ​​of periodic intensity and phase noise intensity can be set according to the specific application scenario to further optimize the accuracy of interference evaluation. This step provides a scientific quantitative basis for interference quantification, which can effectively identify the intensity of signal interference and conduct real-time monitoring and evaluation. On this basis, combined with the allowable interference range specified in the wireless communication standard, the abnormal threshold T is set, and the interference evaluation value is compared with the threshold. When the interference evaluation value D i (t) When it exceeds the abnormal threshold T, it indicates that the interference is abnormal, and the dynamic adjustment mechanism of spectrum resources is automatically triggered to optimize spectrum allocation and reduce the impact of interference on signal transmission. If the interference assessment value is within the normal range, monitoring will continue without intervention. This mechanism can effectively avoid unnecessary intervention operations and save resources, while ensuring rapid response when interference exceeds the standard and optimizing communication quality.

[0027] Example 4 Specifically: S3 includes S31 and S32; S31. After preliminary comparison and evaluation shows that the wireless communication signal has interference anomalies, a dynamic adjustment mechanism for spectrum resources is automatically triggered, where the dynamic adjustment mechanism for spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism. The dynamic spectrum allocation mechanism calculates the output spectrum hole V based on the power spectrum density S (f, t) at the time t when the signal feature vector is concentrated and the frequency f of the wireless communication signal, and analyzes the unoccupied area in the spectrum; The spectrum voidness V is calculated and output by the following algorithm formula; ; In the formula, Smax represents the upper limit of the signal power spectrum density, which is used for normalization, f1 represents the lower limit of the frequency, f2 represents the upper limit of the frequency, and df represents the frequency small integral variable; Based on the spectrum hole degree V, combined with the interference evaluation value D of the i-th wireless communication signal at time t i (t), calculate and output the adjusted spectrum voidness Vadj, dynamically adjust the voidness, and decide which devices should be assigned to which frequency band to ensure that the signal can be transmitted on a relatively clean frequency band, thereby reducing interference and improving communication performance; Adjust the spectrum void degree Vadj and calculate the output through the following algorithm formula; ; In the formula, According to the interference evaluation value D of the i-th wireless communication signal at time t i (t) The adjustment amount for dynamic calculation, Represents an adjustment function, which is established by using machine learning based on actual conditions.

[0028] S32, the power adjustment suppression mechanism dynamically adjusts the power of the wireless communication signal by calculating the output adjustment signal power Pout after the dynamic spectrum allocation mechanism is executed, suppresses the signal interference, reduces the impact of the interference signal, and optimizes the stability and quality of the wireless communication signal; The adjusted signal power Pout is output through the following algorithm formula; ; Wherein, Pin(t) represents the output power of the wireless communication signal at time t before adjustment.

[0029] In this embodiment, the method uses a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism to effectively adjust and optimize the interference anomaly of the wireless communication signal. First, after the interference anomaly is found, the dynamic spectrum allocation mechanism is automatically triggered. The mechanism calculates the spectrum void V, analyzes the unoccupied spectrum area under the wireless communication signal frequency f, and further outputs the adjustment amount Vadj of the spectrum void V. The adjustment amount is based on the signal interference evaluation value D i(t) and spectrum voidness V are combined to dynamically determine the appropriate frequency band allocation using an algorithm to ensure that the signal can be transmitted on a relatively clean frequency band, thereby effectively reducing interference and improving communication quality. Next, after the spectrum allocation is adjusted, the power adjustment suppression mechanism further calculates and adjusts the output power Pout of the signal according to the adjusted spectrum environment, suppresses excessive interference by reducing the signal power, and further optimizes the stability and quality of the signal. This series of dynamic adjustment measures ensures that the signal transmission is always under the best conditions under different interference environments, and can effectively reduce the negative impact of interference. The beneficial effect of implementing this method is reflected in: by combining dynamic spectrum allocation with power adjustment, the interference problem in wireless communication can be accurately dealt with, while maintaining the quality of communication signals, effectively reducing the waste of spectrum resources. The dynamic adjustment of spectrum voidness not only improves the utilization of resources, but also optimizes the transmission environment of the signal and reduces the degradation of communication quality caused by interference. The power adjustment mechanism further improves the anti-interference ability and stability of the signal by intelligently adjusting the signal power, ensuring the efficient and stable operation of wireless communication.

[0030] Example 5 Specifically: S4 includes S41 and S42; S41, after the dynamic adjustment mechanism of spectrum resources is executed, the signal feature vector set is collected and extracted again, and the comprehensive evaluation value Ftotal is output by comprehensive calculation in combination with the adjustment of spectrum hole degree Vadj and the adjustment of signal power Pout, and the effect of the collection after the dynamic adjustment of wireless communication signal is analyzed; The comprehensive evaluation value Ftotal is calculated and output by the following algorithm formula; ; In the formula, t1 represents the lower limit of time, t2 represents the upper limit of time, t1 and t2 constitute the time interval, and dt represents the small change in time.

[0031] S42, setting a performance threshold F1 based on the communication performance standard of the wireless communication signal, performing performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal, analyzing the interference situation of the wireless communication signal collection after optimization after the dynamic spectrum allocation mechanism is executed, and the specific evaluation contents are as follows; When the comprehensive evaluation value Ftotal ≥ performance threshold F1, it means that after the dynamic adjustment mechanism of spectrum resources is executed, the wireless communication signal collection is abnormally affected by interference. At this time, the dynamic adjustment mechanism of spectrum resources is executed again to adjust the wireless communication signal collection, dynamically adjust the spectrum hole degree V, avoid allocating spectrum resources to areas with strong interference, optimize spectrum allocation, reduce signal power, reduce the impact of high phase noise, switch to the frequency band with less interference, or optimize the distribution of interference sources through spectrum aggregation and other methods; When the comprehensive evaluation value Ftotal is less than the performance threshold F1, it means that after the dynamic adjustment mechanism of the spectrum resources is executed, the wireless communication signal collection is normally affected by the interference, and the current spectrum resource allocation is maintained at this time.

[0032] In this embodiment, the method further improves the transmission quality and stability of wireless communication signals by re-evaluating and optimizing after the dynamic adjustment mechanism of spectrum resources is executed. Specifically, after the dynamic adjustment mechanism of spectrum resources is executed, a new signal feature vector set is first collected and extracted, and the adjusted spectrum voidness Vadj and signal power Pout are combined for comprehensive calculation to output a comprehensive evaluation value Ftotal. The comprehensive evaluation value is used to measure the interference status of the wireless communication signal after adjustment and provide a decision basis for subsequent optimization. During the evaluation process, by comparing the comprehensive evaluation value Ftotal with the preset performance threshold F1, if Ftotal≥F1, it means that the wireless communication signal is still subject to greater interference, and the dynamic adjustment mechanism of spectrum resources will be automatically executed again. Specific adjustment measures include re-optimizing the spectrum voidness V, avoiding areas with strong interference, reducing signal power, reducing the impact of high phase noise, or reallocating the spectrum through spectrum aggregation and other methods to ensure the optimization of the signal transmission environment. If Ftotal<F1, it means that the signal transmission is already in an ideal interference state, and the current spectrum resource allocation will continue to be maintained to ensure the stability of wireless communication. Through this series of dynamic adjustment and evaluation steps, the interference status of wireless communication signals can be monitored and optimized in real time, effectively avoiding the waste of spectrum resources and unnecessary power consumption while ensuring the communication quality. Ultimately, this method achieves stable transmission of wireless communication signals in complex electromagnetic environments, improves interference suppression capabilities, optimizes the efficiency of spectrum resource utilization, and significantly improves wireless communication performance and user experience.

[0033] Example 6 Specifically: S5 includes S51 and S52; S51, after executing the dynamic adjustment mechanism of spectrum resources for a second time, execute S41 for a second time, calculate and output the second comprehensive evaluation value Ftotal2, then perform difference calculation between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal, obtain the performance improvement difference value △F, analyze the secondary optimization situation, and the specific algorithm formula is: △F=Ftotal2-Ftotal; S52, performing a secondary comparative evaluation analysis based on the output result of the performance improvement difference value △F, analyzing the optimization situation, and generating an iteration mechanism based on the evaluation result. The specific evaluation contents are as follows; If the performance improvement difference value △F ≥ 0, it means that after the dynamic adjustment mechanism of spectrum resources is completed, the wireless communication signal acquisition optimization is normal, and no intervention is required to continue monitoring; If the performance improvement difference value △F is less than 0, it means that after the dynamic adjustment mechanism of spectrum resources is completed, the wireless communication signal acquisition optimization is abnormal. At this time, an iteration mechanism is generated until the wireless communication signal acquisition optimization stops iteration normally.

[0034] In this embodiment, the method further optimizes the acquisition and interference suppression process of wireless communication signals by executing the dynamic adjustment mechanism of spectrum resources twice. After the initial dynamic adjustment of spectrum resources, the second comprehensive evaluation value Ftotal2 will be calculated again, and the difference will be calculated with the comprehensive evaluation value Ftotal of the first evaluation to obtain the performance improvement difference value △F. This difference value is used to measure the optimization effect after the adjustment of spectrum resources and provide a basis for subsequent evaluation. According to the performance improvement difference value △F, a secondary comparative evaluation is performed. If △F≥0, it means that the secondary optimization has achieved the expected goal, and the current spectrum resource allocation state continues to be maintained without further intervention, and monitoring continues; if △F<0, it indicates that the optimization effect is not ideal, and the interference problem of wireless communication signals has not been effectively suppressed. An iterative mechanism will be generated to automatically adjust the spectrum resources until the wireless communication signal acquisition reaches the ideal state, and the optimization process can be stopped. Through this secondary optimization and evaluation process, the present invention realizes the continuous optimization of wireless communication signals in complex interference environments, ensures that the dynamic adjustment of spectrum resources can continuously adapt to environmental changes, and improves communication quality and stability.

[0035] Example 7 See also Figure 1 and Figure 2 , a high-rate signal acquisition system, including a signal acquisition and feature extraction module, a signal interference monitoring module, a distribution and suppression module, a comprehensive performance analysis module and an iterative optimization module; The signal acquisition and feature extraction module collects wireless communication signals in real time by installing signal acquisition equipment in the wireless communication base station, performs spectrum analysis on the wireless communication signals, extracts signal data, and extracts features from the signal data to obtain a signal feature vector set; The signal interference monitoring module calculates and outputs the interference evaluation value D of the i-th wireless communication signal at time t based on the acquired signal feature vector set. i (t), and preset the abnormal threshold T, and the interference evaluation value D of the i-th wireless communication signal at time t i (t) Perform preliminary comparison and evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; After the allocation and suppression module has preliminarily compared and evaluated the existence of interference anomalies, it will execute the dynamic adjustment mechanism of spectrum resources. The dynamic adjustment mechanism of spectrum resources includes dynamic spectrum allocation mechanism and power adjustment suppression mechanism. After the interference source optimization mechanism is executed, the comprehensive performance analysis module performs summary calculation to output the comprehensive evaluation value Ftotal, sets the performance threshold F1, and then performs performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal to analyze the communication status of the wireless communication signal; The iterative optimization module performs a dynamic adjustment mechanism of spectrum resources for a second time when the performance evaluation shows that the communication state of the wireless communication signal is abnormal. At the same time, it calculates and outputs a second comprehensive evaluation value Ftotal2 for a second time, and then calculates the difference between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal to obtain the performance improvement difference value △F. A second comparative evaluation is performed based on the output result of the performance improvement difference value △F, and an iterative mechanism is generated based on the evaluation result.

[0036] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A high-speed signal acquisition method, characterized in that: The following steps are involved: S1. Installing signal acquisition equipment at a wireless communication base station to collect wireless communication signals in real time, and performing spectrum analysis on the wireless communication signals to extract signal data, and then performing feature extraction on the signal data to obtain a signal feature vector set; S2. Calculate and output the interference evaluation value D of the i-th wireless communication signal at time t based on the acquired signal feature vector set. i (t), and preset the abnormal threshold T, and the interference evaluation value D of the i-th wireless communication signal at time t i (t) performing a preliminary comparative evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; S3. After preliminary comparison and evaluation to find that an interference anomaly exists, a dynamic adjustment mechanism of spectrum resources is executed, wherein the dynamic adjustment mechanism of spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism; S4. After the interference source optimization mechanism is executed, a summary calculation is performed to output a comprehensive evaluation value Ftotal, and a performance threshold F1 is set at the same time. Then, the performance threshold F1 and the comprehensive evaluation value Ftotal are used for performance evaluation to analyze the communication status of the wireless communication signal; S5. If the performance evaluation shows that the communication state of the wireless communication signal is abnormal, the dynamic adjustment mechanism of the spectrum resources is executed for a second time, and the second comprehensive evaluation value Ftotal2 is calculated and output for a second time. The second comprehensive evaluation value Ftotal2 is then differentially calculated with the comprehensive evaluation value Ftotal to obtain the performance improvement difference value △F, and a second comparative evaluation is performed based on the output result of the performance improvement difference value △F, and an iterative mechanism is generated based on the evaluation result.

2. A high-speed signal acquisition method according to claim 1, characterized in that: Said S1 includes S11 and S12; S11, by installing a signal acquisition device in the wireless communication mechanism and setting the acquisition frequency of the signal acquisition device to 10000 Hz / s, a number of wireless communication signals are collected in real time, and spectrum analysis is performed on all wireless communication signals to obtain signal data; The signal data includes the wireless communication signal frequency f; S12, performing feature extraction based on the acquired signal data to obtain a signal feature vector set; The signal feature vector set includes the power spectrum density S(f, t) at time t and wireless communication signal frequency f, the periodic strength P(t) of the wireless communication signal at time t, and the phase noise Xh(t) of the wireless communication signal at time t; The power spectrum density S (f, t) at the time t and the wireless communication signal frequency f is converted from a time domain signal to a frequency domain feature by Fourier transform, and then the energy distribution in the frequency domain is analyzed and obtained. The specific algorithm formula is: ; Wherein, T represents the time length of the wireless communication signal observation window, and X(f, t) represents the Fourier transform result of the wireless communication signal at time t and the wireless communication signal frequency f; The periodic strength P(t) of the wireless communication signal at the time t is calculated and extracted based on the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ; Wherein, f1 represents the lower frequency limit, f2 represents the upper frequency limit, f1 and f2 together constitute the frequency band [f1, f2] of the wireless communication signal, and df represents the frequency micro-integral variable; The phase noise intensity Xh(t) of the wireless communication signal at the time t is obtained by analyzing the phase change of the wireless communication signal in the time domain based on the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ;in, represents the ratio of pi, which is 3.

14. dS(f, t) represents the small change in the power spectrum density S(f, t) at the time t and the frequency f of the wireless communication signal. dt represents the small change in time. Indicates the rate of change of the power spectrum density of the wireless communication signal over time.

3. A high-speed signal acquisition method according to claim 2, characterized in that: The S2 includes S21 and S22; S21, performing dimensionless processing based on the periodic strength P(t) of the wireless communication signal at time t and the phase noise strength Xh(t) of the wireless communication signal at time t in the signal feature vector set, and combining the periodic strength P(t) of the wireless communication signal at time t and the phase noise strength Xh(t) of the wireless communication signal at time t to obtain the interference evaluation value D of the i-th wireless communication signal at time t i (t), to quantify the interference of wireless communication signals; The interference evaluation value D of the i-th wireless communication signal at time t i (t) Calculate the output using the following algorithm formula; ； Where D i (t) represents the interference evaluation value of the i-th wireless communication signal at time t, and represent the weight values ​​of the wireless communication signal periodicity strength P and the wireless communication signal phase noise strength Xh, respectively, and + =1, the specific value is set by the user.

4. A high-speed signal acquisition method according to claim 3, characterized in that: S22, setting an abnormal threshold T based on the allowed interference range specified in the wireless communication standard, and then comparing the abnormal threshold T with the interference evaluation value D of the i-th wireless communication signal at time t. i (t) Conduct preliminary comparative assessment to determine the interference situation of all wireless communication signals. The specific assessment contents are as follows; When the interference evaluation value D of the i-th wireless communication signal at time t i When (t)>abnormal threshold T, it indicates that the interference of the i-th wireless communication signal is abnormal, and the dynamic adjustment mechanism of spectrum resources is triggered; When the interference evaluation value D of the i-th wireless communication signal at time t i When (t) ≤ abnormal threshold T, it means that the i-th wireless communication signal interference is within the allowable interference range, and no intervention is required to continue monitoring.

5. A high-speed signal acquisition method according to claim 4, characterized in that: The S3 includes S31 and S32; S31. After preliminary comparison and evaluation shows that the wireless communication signal has interference anomaly, automatically triggering a dynamic adjustment mechanism for spectrum resources, wherein the dynamic adjustment mechanism for spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism; The dynamic spectrum allocation mechanism calculates and outputs the spectrum hole V according to the power spectrum density S (f, t) at the time t when the signal feature vector is concentrated and the frequency f of the wireless communication signal, and analyzes the unoccupied area in the spectrum; The spectrum voidness V is calculated and outputted by the following algorithm formula; ； In the formula, Smax represents the upper limit of the signal power spectrum density, f1 represents the lower limit of the frequency, f2 represents the upper limit of the frequency, and df represents the frequency micro-integral variable; Based on the spectrum hole degree V, combined with the interference evaluation value D of the i-th wireless communication signal at time t i (t), calculate and output the adjusted spectrum voidness Vadj, and dynamically adjust the voidness; The adjusted spectrum void degree Vadj is calculated and outputted by the following algorithm formula; ； In the formula, According to the interference evaluation value D of the i-th wireless communication signal at time t i (t) The adjustment amount for dynamic calculation, Represents the adjustment function.

6. A high-speed signal acquisition method according to claim 5, characterized in that: S32, the power adjustment suppression mechanism dynamically adjusts the power of the wireless communication signal by calculating the output adjustment signal power Pout after the dynamic spectrum allocation mechanism is executed, thereby suppressing signal interference; The adjustment signal power Pout is output through the following algorithm formula; ； Wherein, Pin(t) represents the output power of the wireless communication signal at time t before adjustment.

7. A high-speed signal acquisition method according to claim 6, characterized in that: The S4 includes S41 and S42; S41, after the dynamic adjustment mechanism of spectrum resources is executed, the signal feature vector set is collected and extracted again, and the comprehensive evaluation value Ftotal is output by comprehensive calculation in combination with the adjustment of spectrum hole degree Vadj and the adjustment of signal power Pout, and the effect of the collection after the dynamic adjustment of wireless communication signal is analyzed; The comprehensive evaluation value Ftotal is calculated and output by the following algorithm formula; ； In the formula, t1 represents the lower limit of time, t2 represents the upper limit of time, and dt represents the small change in time.

8. A high-speed signal acquisition method according to claim 7, characterized in that: S42, setting a performance threshold F1 based on the communication performance standard of the wireless communication signal, performing performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal, analyzing the interference situation of the wireless communication signal collection after optimization after the dynamic spectrum allocation mechanism is executed, and the specific evaluation contents are as follows; When the comprehensive evaluation value Ftotal ≥ the performance threshold F1, it means that after the dynamic adjustment mechanism of spectrum resources is executed, the wireless communication signal collection is abnormally affected by interference, and the dynamic adjustment mechanism of spectrum resources is executed again at this time; When the comprehensive evaluation value Ftotal is less than the performance threshold F1, it means that after the dynamic adjustment mechanism of the spectrum resources is executed, the wireless communication signal collection is normally affected by the interference, and the current spectrum resource allocation is maintained at this time.

9. A high-speed signal acquisition method according to claim 8, characterized in that: The S5 includes S51 and S52; S51, after executing the dynamic adjustment mechanism of spectrum resources for a second time, execute S41 for a second time, calculate and output the second comprehensive evaluation value Ftotal2, then perform difference calculation between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal, obtain the performance improvement difference value △F, analyze the secondary optimization situation, and the specific algorithm formula is: △F=Ftotal2-Ftotal; S52, performing a secondary comparative evaluation analysis based on the output result of the performance improvement difference value △F, analyzing the optimization situation, and generating an iteration mechanism based on the evaluation result. The specific evaluation contents are as follows; If the performance improvement difference value △F ≥ 0, it means that after the dynamic adjustment mechanism of spectrum resources is completed, the wireless communication signal acquisition optimization is normal, and no intervention is required to continue monitoring; If the performance improvement difference value △F is less than 0, it means that after the dynamic adjustment mechanism of spectrum resources is completed, the wireless communication signal acquisition optimization is abnormal. At this time, an iteration mechanism is generated until the wireless communication signal acquisition optimization stops iteration normally.

10. A high-rate signal acquisition system, applied to a high-rate signal acquisition method according to any one of claims 1 to 9, characterized in that: It includes signal acquisition and feature extraction module, signal interference monitoring module, allocation and suppression module, comprehensive performance analysis module and iterative optimization module; The signal acquisition and feature extraction module collects wireless communication signals in real time by installing signal acquisition equipment in the wireless communication base station, performs spectrum analysis on the wireless communication signals, extracts signal data, and extracts features from the signal data to obtain a signal feature vector set; The signal interference monitoring module calculates and outputs the interference evaluation value D of the i-th wireless communication signal at time t based on the acquired signal feature vector set. i (t), and preset the abnormal threshold T, and the interference evaluation value D of the i-th wireless communication signal at time t i (t) performing a preliminary comparative evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; After the allocation and suppression module preliminarily compares and evaluates the existence of abnormal interference, it executes a dynamic adjustment mechanism of spectrum resources, and the dynamic adjustment mechanism of spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism; The comprehensive performance analysis module performs summary calculation and outputs a comprehensive evaluation value Ftotal after the interference source optimization mechanism is executed, and sets a performance threshold F1, and performs performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal to analyze the communication status of the wireless communication signal; The iterative optimization module executes the dynamic adjustment mechanism of spectrum resources for a second time when the performance evaluation shows that the communication state of the wireless communication signal is abnormal, and calculates and outputs the second comprehensive evaluation value Ftotal2 for a second time, and then calculates the difference between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal to obtain the performance improvement difference value △F, and performs a second comparative evaluation based on the output result of the performance improvement difference value △F, and generates an iterative mechanism based on the evaluation result.

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