A high-speed signal acquisition system and acquisition method

Abstract

The application discloses a high-speed signal acquisition system and an acquisition method, relates to the technical field of signal acquisition, and introduces a comparison evaluation mechanism of a comprehensive evaluation value Ftotal and a performance threshold F1, evaluates the communication performance of a wireless communication signal in real time after dynamic adjustment of spectrum resources, and executes secondary optimization according to the evaluation result. When the comprehensive evaluation value Ftotal is lower than the performance threshold F1, the system triggers a secondary spectrum resource dynamic adjustment mechanism, further optimizes spectrum void degree V and signal power Pout, and ensures that interference is effectively suppressed. If the performance improvement difference value AF is greater than or equal to 0, it indicates that the optimization effect is good, and the system can continue to maintain the current setting; if the performance improvement difference value AF is less than 0, the system continuously optimizes through an iteration mechanism until ideal communication quality is achieved. The multiple 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 application relates to the technical field of signal acquisition, in particular to a high-speed signal acquisition system and method. BACKGROUND

[0002] The high-speed signal acquisition method belongs to the field of wireless communication, which is a crucial part of information technology, especially in mobile communication, satellite communication and Internet of Things (IoT) applications, 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. Especially with the increasing requirements of 5G and future 6G networks for high speed, large capacity and low latency, higher demands for signal acquisition technology are brought. Traditional signal acquisition methods 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, accurate signal interference capture, spectrum and power allocation adjustment. Therefore, how to dynamically optimize the signal acquisition process in wireless communication and improve the interference suppression capability has become a key technical challenge in this field.

[0003] At present, the wireless communication signal acquisition method generally relies on fixed spectrum allocation and static power adjustment strategy, which leads to low signal acquisition efficiency in high interference environment, unbalanced spectrum resource utilization, and even affects the stability and quality of the signal. Especially in the case of spectrum resource scarcity, signal interference problem is particularly serious, and traditional methods often cannot respond to the changes of spectrum resources in real time, and it is also difficult to achieve fine control for different interference sources. This limitation makes the communication system vulnerable to high-intensity interference, leading to problems such as signal packet loss, delay increase, and communication quality decline. Especially in large-scale user access and high-speed communication scenarios, signal interference problems are 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

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

[0005] To achieve the above purpose, the present application is realized by the following technical scheme:

[0006] S1, by installing a signal acquisition device in a wireless communication base station, real-time acquisition of wireless communication signals is realized, and spectrum analysis of the wireless communication signals is realized, signal data is extracted, and signal feature vectors are obtained by feature extraction of the signal data;

[0007] S2, based on the obtained signal feature vector set, the interference evaluation value D of the i-th wireless communication signal at time t is calculated and outputi (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 comparison and evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal;

[0008] S3. After preliminary comparison and assessment of the presence of abnormal interference, a dynamic adjustment mechanism for spectrum resources is executed, wherein the dynamic adjustment mechanism for spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism;

[0009] 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 to perform a performance evaluation to analyze the communication status of the wireless communication signal;

[0010] S5. If the performance evaluation shows that the communication status of the wireless communication signal is abnormal, the dynamic adjustment mechanism of the spectrum resources is executed a second time, and the second comprehensive evaluation value Ftotal2 is calculated and outputted a second time. The second comprehensive evaluation value Ftotal2 is then differenced 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.

[0011] Preferably, said S1 includes S11 and S12;

[0012] S11. Install a signal acquisition device on the wireless communication mechanism and set the acquisition frequency of the signal acquisition device to 10000 Hz to collect a number of wireless communication signals in real time, and perform spectrum analysis on all wireless communication signals to obtain signal data;

[0013] The signal data includes the wireless communication signal frequency f;

[0014] S12, performing feature extraction based on the acquired signal data to obtain a signal feature vector set;

[0015] 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;

[0016] 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 to obtain the specific algorithm formula: 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 wireless communication signal frequency f;

[0017] 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;

[0018] The phase noise intensity Xh(t) of the wireless communication signal at 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 time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ;in, Represents the value of pi, which is 3.14. dS(f, t) represents the slight change in the power spectrum density S(f, t) at time t and the frequency f of the wireless communication signal. dt represents the slight change in time. Indicates the rate of change of the power spectral density of wireless communication signals over time.

[0019] Preferably, said S2 includes S21 and S22;

[0020] S21. Perform dimensionless processing on the wireless communication signal periodicity strength P(t) at time t and the wireless communication signal phase noise strength Xh(t) at time t in the signal feature vector set, and combine the wireless communication signal periodicity strength P(t) at time t and the wireless communication signal phase noise strength Xh(t) 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;

[0021] 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;

[0022] ;

[0023] 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.

[0024] Preferably, S22, setting an abnormality threshold T based on the allowed interference range specified in the wireless communication standard, and then comparing the abnormality threshold T with the interference evaluation value D of the i-th wireless communication signal at time t. i (t) Conduct preliminary comparative assessments to determine the interference situation of all wireless communication signals. The specific assessment contents are as follows;

[0025] 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;

[0026] 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 interference of the i-th wireless communication signal is within the allowable interference range, and no intervention is required to continue monitoring.

[0027] Preferably, said S3 includes S31 and S32;

[0028] S31. After preliminary comparison and assessment of abnormal interference with wireless communication signals, 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;

[0029] The dynamic spectrum allocation mechanism calculates and outputs the spectrum voidness V based on the signal feature vector concentration time t and the power spectrum density S(f, t) at the wireless communication signal frequency f, and analyzes the unoccupied areas in the spectrum;

[0030] The spectrum voidness V is calculated and outputted by the following algorithm formula:

[0031] ;

[0032] Where 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.

[0033] 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;

[0034] The adjusted spectrum voidness Vadj is calculated and outputted by the following algorithm formula:

[0035] ;

[0036] In the formula, The interference evaluation value D of the ith wireless communication signal at time t i The adjustment amount calculated dynamically by the adjustment function The adjustment function.

[0037] Preferably, S32, the power adjustment suppression mechanism performs dynamic adjustment of the power of the wireless communication signal by calculating the output adjustment signal power Padj after the dynamic spectrum allocation mechanism is executed, to suppress signal interference;

[0038] The adjustment signal power Padj is output by the following algorithm formula;

[0039] ;

[0040] In the formula, Pin(t) represents the output power of the wireless communication signal at time t before adjustment.

[0041] Preferably, the S4 includes S41 and S42;

[0042] S41, after the dynamic adjustment mechanism of the spectrum resource is executed, the signal feature vector set is collected again, and the comprehensive evaluation value Ftotal is calculated and output by combining the adjustment spectrum void degree Vadj and the adjustment signal power Padj, to analyze the effect of the dynamic adjustment of the wireless communication signal.

[0043] The comprehensive evaluation value Ftotal is calculated and output by the following algorithm formula;

[0044] ;

[0045] In the formula, t1 represents the lower limit of time, t2 represents the upper limit of time, and dt represents the small change of time.

[0046] Preferably, S42, the performance threshold F1 is set based on the communication performance standard of the wireless communication signal, and the performance threshold F1 and the comprehensive evaluation value Ftotal are evaluated to analyze the interference of the wireless communication signal collected after the dynamic spectrum allocation mechanism is executed, and the specific evaluation content is as follows.

[0047] When the comprehensive evaluation value Ftotal is greater than or equal to the performance threshold F1, it indicates that the wireless communication signal collected after the dynamic adjustment mechanism of the spectrum resource is executed is abnormally affected by interference, and the dynamic adjustment mechanism of the spectrum resource is executed again.

[0048] When the comprehensive evaluation value Ftotal is less than the performance threshold value F1, it indicates that the wireless communication signal collection is affected by the interference and is normal after the dynamic adjustment mechanism of the spectrum resource is executed. At this time, the current spectrum resource allocation is maintained.

[0049] Preferably, the S5 comprises S51 and S52.

[0050] S51, after the dynamic adjustment mechanism of the spectrum resource is executed again, the second execution S41 is performed, the second comprehensive evaluation value Ftotal2 is calculated and output, and the performance improvement difference value AF is obtained by difference calculation of the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal. The second optimization condition is analyzed, and the specific algorithm formula is: AF = Ftotal - Ftotal2.

[0051] S52, based on the output result of the performance improvement difference value AF, the second comparative evaluation analysis is performed, the optimization condition is analyzed, and the iteration mechanism is generated based on the evaluation result. The specific evaluation content is as follows.

[0052] If the performance improvement difference value AF is greater than or equal to 0, it indicates that the wireless communication signal collection is optimized normally after the dynamic adjustment mechanism of the spectrum resource is executed. At this time, it is not necessary to intervene and continue to monitor.

[0053] If the performance improvement difference value AF is less than 0, it indicates that the wireless communication signal collection is abnormal after the dynamic adjustment mechanism of the spectrum resource is executed. At this time, the iteration mechanism is generated until the wireless communication signal collection is optimized normally and the iteration is stopped.

[0054] A high-speed signal collection system, comprising a signal collection and feature extraction module, a signal interference monitoring module, an allocation and suppression module, a comprehensive performance analysis module and an iteration optimization module.

[0055] The signal collection and feature extraction module collects wireless communication signals in real time by installing a signal collection device on a wireless communication base station, performs spectrum analysis on the wireless communication signals, extracts signal data, extracts features from the signal data, and obtains a signal feature vector set.

[0056] The signal interference monitoring module calculates and outputs the interference evaluation value D i (t) of the i-th wireless communication signal at time t based on the obtained signal feature vector set, and presets an abnormal threshold value T. The interference evaluation value D i (t) of the i-th wireless communication signal at time t is compared with the abnormal threshold value T to judge the interference of the wireless communication signal.

[0057] The allocation and inhibition module performs a dynamic spectrum resource adjustment mechanism after the preliminary comparison evaluates the existence of interference anomalies, the dynamic spectrum resource adjustment mechanism includes a dynamic spectrum allocation mechanism and a power adjustment inhibition mechanism.

[0058] The comprehensive performance analysis module performs a summary calculation to output a comprehensive evaluation value Ftotal after the interference source optimization mechanism is executed, sets a performance threshold F1, and performs performance evaluation on the performance threshold F1 and the comprehensive evaluation value Ftotal to analyze the communication situation of the wireless communication signal.

[0059] The iterative optimization module performs a dynamic spectrum resource adjustment mechanism again when the performance evaluation shows that the wireless communication signal communication state is abnormal, and then performs a second calculation to output a second comprehensive evaluation value Ftotal2, and then performs a difference calculation on the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal to obtain a performance improvement difference value AF, and performs a second comparison evaluation based on the output result of the performance improvement difference value AF, and generates an iterative mechanism based on the evaluation result.

[0060] The present application provides a high-speed signal acquisition system and acquisition method.

[0061] (1) The method installs a signal acquisition device in the wireless communication base station, sets the acquisition frequency to 10000Hz / s, and acquires wireless communication signals in real time and performs spectrum analysis to obtain signal data. By extracting a set of signal feature vectors including power spectral density, periodic intensity and phase noise, the present application can accurately reflect the characteristics of the signal in the time-frequency domain and perform real-time evaluation on the interference of the signal. This method can effectively improve the acquisition accuracy of the wireless communication signal, ensure timely response to the interference of the signal, provide scientific basis for subsequent dynamic adjustment of spectrum resources, and avoid the influence of interference on communication quality.

[0062] (2) The method automatically triggers a dynamic spectrum resource adjustment mechanism after evaluating the interference anomalies. Specifically, the system first identifies the unoccupied area in the spectrum by calculating the spectrum void degree V, and optimizes the transmission frequency band of the signal through the dynamic spectrum allocation mechanism, thereby reducing the influence of the interference source. Combined with the power adjustment inhibition mechanism, the system can adjust the signal power Padj according to the interference evaluation value D i (t) to effectively reduce the influence of high-intensity interference and improve communication quality. This mechanism ensures that the wireless communication signal can be transmitted in a relatively clean frequency band, thereby improving communication stability and data transmission speed and reducing the interference of the communication signal.

[0063] (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 indicates that the optimization effect is good and the system can continue to maintain the current setting; 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

[0064] Figure 1 This is a schematic diagram of the steps of a high-speed signal acquisition method of the present invention;

[0065] Figure 2 The figure is a flow chart of a high-speed signal acquisition system of the present invention. DETAILED DESCRIPTION

[0066] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0067] Example 1

[0068] See also Figure 1 The present invention provides a high-speed signal acquisition method. To achieve the above purpose, the present invention is implemented through the following technical solutions: comprising the following steps:

[0069] S1. Installing signal acquisition equipment at wireless communication base stations to collect wireless communication signals in real time, performing spectrum analysis on the wireless communication signals, extracting signal data, and performing feature extraction on the signal data to obtain a signal feature vector set.

[0070] 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;

[0071] S3, after the preliminary comparative evaluation of the existence of interference abnormality, the dynamic adjustment mechanism of spectrum resource is executed, the dynamic adjustment mechanism of spectrum resource includes dynamic spectrum allocation mechanism and power adjustment suppression mechanism;

[0072] S4, after the execution of the interference source optimization mechanism, the summary calculation of the comprehensive evaluation value Ftotal is performed, the performance threshold F1 is set, the performance evaluation of the performance threshold F1 and the comprehensive evaluation value Ftotal is performed, and the communication condition of the wireless communication signal is analyzed;

[0073] S5, if the performance evaluation shows that the wireless communication signal communication state is abnormal, the dynamic adjustment mechanism of spectrum resource is executed again, the second comprehensive evaluation value Ftotal2 is calculated and output again, the difference between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal is calculated to obtain the performance improvement difference value AF, the output result based on the performance improvement difference value AF is compared and evaluated again, and the iteration mechanism is generated based on the evaluation result.

[0074] In this embodiment, the method is used to install a signal acquisition device in a wireless communication base station, to collect wireless communication signals in real time, and to perform spectrum analysis on the signals to extract signal data. Then, the signal data is used for feature extraction to obtain a signal feature vector set. Based on the extracted signal feature vector set, the interference evaluation value D of each wireless communication signal at a specific time is calculated and output. i(t), and preliminarily compares and evaluates it with a preset abnormal threshold T, and then judges the interference condition of the wireless communication signal. When detecting interference abnormality, a dynamic adjustment mechanism of spectrum resources is automatically executed, specifically including two links of dynamic spectrum allocation and power adjustment suppression. The dynamic adjustment mechanism of spectrum resources finds the unoccupied spectrum area through the analysis of spectral hole degree V, thereby optimizing spectrum allocation and reducing signal interference. The power adjustment suppression mechanism further reduces the influence of interference by dynamically adjusting the power of the wireless communication signal, and ensures the quality and stability of the signal. After the dynamic adjustment of spectrum resources is executed, the adjusted signal condition is summarized and evaluated, the comprehensive evaluation value Ftotal is calculated, and it is compared with the performance threshold F1. If the evaluation result shows that the communication state is abnormal, secondary dynamic adjustment is performed, the second comprehensive evaluation value Ftotal2 is recalculated, and the difference value AF between the original comprehensive evaluation value Ftotal and the performance improvement difference value AF is obtained. If AF is positive, it means that the optimization effect is good, if it is negative, the iteration mechanism will continue to be executed for re-optimization until the best communication effect is achieved. At the same time, through real-time collection and analysis of signal characteristics, the interference condition in the wireless communication signal can be found in time, avoiding the influence of damaged communication signal on data transmission. The dynamic spectrum allocation and power adjustment suppression mechanism effectively reduces the influence of interference signal on communication, optimizes the spectrum use of wireless communication, and improves the transmission quality and stability of the signal. Through comprehensive evaluation and secondary optimization strategy, it ensures that the wireless communication signal can be continuously optimized in a dynamic environment, avoids the long-term negative influence of interference source on communication, and guarantees the continuous improvement of signal quality.

[0075] Embodiment 2

[0076] Specifically: S1 includes S11 and S12;

[0077] S11, by installing a signal collection device in the wireless communication mechanism, setting the collection frequency of the signal collection device to 10000hz, collecting a plurality of wireless communication signals in real time, and performing spectrum analysis on all the wireless communication signals to obtain signal data;

[0078] The signal data includes the frequency f of the wireless communication signal;

[0079] S12, based on the obtained signal data, feature extraction is performed to obtain a signal feature vector set;

[0080] The signal feature vector set includes the power spectral density S(f, t) at the time t and the frequency f of the wireless communication signal, the periodic intensity P(t) of the wireless communication signal at the time t, and the phase noise Xh(t) of the wireless communication signal at the time t;

[0081] The power spectral density S(f, t) at time t and wireless communication signal frequency f converts the wireless communication signal frequency f from a time domain signal to a frequency domain feature through Fourier transform, and then analyzes the energy distribution obtained in the frequency domain. 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 wireless communication signal frequency f;

[0082] The wireless communication signal periodicity strength P(t) at time t is calculated and extracted based on the power spectral density S(f, t) at time t and wireless communication signal frequency f. The specific algorithm formula is: ; wherein f1 represents the lower limit of the frequency, f2 represents the upper limit of the frequency, f1 and f2 together constitute the frequency band [f1, f2] of the wireless communication signal,

[0083] df represents a small frequency integral variable, which is used to measure the periodic change of the signal, especially the repeated interference mode;

[0084] The wireless communication signal phase noise strength Xh(t) at time t is analyzed based on the power spectral density S(f, t) at time t and wireless communication signal frequency f. The phase change of the wireless communication signal in the time domain is analyzed, especially in high frequency communication, the influence of the interference signal on the phase is larger. The specific algorithm formula is: ; wherein represents the circumference, and the value is 3.14, dS(f, t) represents the small change amount of the power spectral density S(f, t) at time t and wireless communication signal frequency f, and dt represents the small change amount of time, represents the change rate of the power spectral density of the wireless communication signal with time.

[0085] In this embodiment, the method installs signal collection equipment in the wireless communication base station, sets a high sampling frequency of 10000hz / s, collects multiple wireless communication signals in real time, and performs spectral analysis. The signal data includes key parameters such as signal frequency, power spectral density, periodicity intensity and phase noise, and then the signal is converted from time domain to frequency domain through Fourier transform to analyze the energy distribution and interference characteristics of the signal. By extracting the signal feature vector set, including the power spectral density S(f, t), periodicity intensity P(t) and phase noise Xh(t) at time t, the interference mode, periodicity 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 accurate feature extraction, the method can monitor the quality and interference of the signal in real time, and then provide accurate data support for subsequent dynamic adjustment of spectrum resources. The effect of implementing this method is significant, which can improve the signal quality of wireless communication, reduce the influence of interference, and optimize the allocation and power adjustment of spectrum resources through comprehensive analysis of signal characteristics. On the basis of high-speed signal collection and spectral analysis, the present application can provide more accurate interference evaluation to ensure the stability and efficiency of signal transmission in different communication environments. Through accurate calculation of the periodicity intensity and phase noise of the wireless communication signal, the present application effectively enhances the recognition ability of high frequency signal interference, improves the precision of spectrum management, and realizes the quality optimization of wireless signal in interference environment, thereby realizing the significant improvement of communication performance.

[0086] Embodiment 3

[0087] Specifically, S2 includes S21 and S22;

[0088] S21, based on the periodicity intensity P(t) of the wireless communication signal at time t and the phase noise intensity Xh(t) of the wireless communication signal at time t in the signal feature vector set, performs dimensionless processing, and combines and calculates the periodicity intensity P(t) of the wireless communication signal at time t and the phase noise intensity Xh(t) of the wireless communication signal at time t to obtain the interference evaluation value D i (t) of the i th wireless communication signal at time t, and quantizes the interference of the wireless communication signal;

[0089] The interference evaluation value D i (t) of the i th wireless communication signal at time t is calculated and output by the following algorithm formula;

[0090] ;

[0091] In the formula, D i (t) represents the interference evaluation value of the i th wireless communication signal at time t, and respectively represent the weight values of the periodicity intensity P and the phase noise intensity Xh of the wireless communication signal, and + =1, the specific value of which is set by a user.

[0092] S22, set an abnormal threshold T based on the allowed interference range specified in the wireless communication standard, and then preliminarily compare and evaluate the interference evaluation value D i (t) of the i-th wireless communication signal at time t with the abnormal threshold T to judge the interference of all wireless communication signals, and the specific evaluation content is as follows:

[0093] When the interference evaluation value D i (t) of the i-th wireless communication signal at time t is greater than the abnormal threshold T, it indicates that the i-th wireless communication signal is interfered abnormally, and at this time, the dynamic adjustment mechanism of the spectrum resource is triggered to be executed.

[0094] When the interference evaluation value D i (t) of the i-th wireless communication signal at time t is less than or equal to the abnormal threshold T, it indicates that the i-th wireless communication signal is interfered within the allowed interference range, and at this time, it is not necessary to intervene to continue monitoring.

[0095] In this embodiment, the method realizes the quantitative analysis of the interference of the wireless communication signal by performing dimensionless processing on the periodicity intensity P(t) and the phase noise intensity Xh(t) in the signal feature vector set and combining the two features to calculate the interference evaluation value D i (t) of the i-th wireless communication signal at time t. In the calculation formula of the interference evaluation value, the weight values of the periodicity intensity and the phase noise intensity can be set according to the specific application scene to further optimize the accuracy of the interference evaluation. This step provides a scientific quantitative basis for the interference quantification, can effectively identify the intensity of the signal interference, and perform real-time monitoring and evaluation. On this basis, the abnormal threshold T is set in combination with the allowed interference range specified in the wireless communication standard, and the interference evaluation value is compared with the threshold. When the interference evaluation value D i (t) exceeds the abnormal threshold T, it indicates that the interference is abnormal, and the dynamic adjustment mechanism of the spectrum resource is automatically triggered to optimize the spectrum allocation and reduce the influence of the interference on the signal transmission. If the interference evaluation value is within the normal range, it continues to be monitored without intervention. This mechanism can effectively avoid unnecessary intervention operations, save resources, and at the same time ensure rapid response when the interference exceeds the standard, and optimize the communication quality.

[0096] Embodiment 4

[0097] Specifically, S3 includes S31 and S32.

[0098] S31, after the preliminary comparison and evaluation of the abnormal interference of the wireless communication signal, automatically triggering the execution of the dynamic adjustment mechanism of the spectrum resource, the dynamic adjustment mechanism of the spectrum resource includes the dynamic spectrum allocation mechanism and the power adjustment suppression mechanism;

[0099] The dynamic spectrum allocation mechanism calculates and outputs the spectrum void degree V according to the power spectrum density S(f, t) of the signal feature vector set at time t and the wireless communication signal frequency f, and analyzes the unoccupied area in the spectrum;

[0100] The spectrum void degree V is calculated and output by the following algorithm formula;

[0101] ;

[0102] In the formula, Smax represents the upper limit value of the signal power spectrum density, which is used for normalization, f1 represents the lower limit value of the frequency, f2 represents the upper limit value of the frequency, and df represents the frequency small integral variable;

[0103] Based on the spectrum void degree V, combined with the interference evaluation value D i (t) of the i-th wireless communication signal at time t, the adjusted spectrum void degree Vadj is calculated and output, the void degree is dynamically adjusted, it is decided which device should be allocated to which frequency band, and it is ensured that the signal can be transmitted in a relatively clean frequency band, so as to reduce the interference and improve the communication performance;

[0104] The adjusted spectrum void degree Vadj is calculated and output by the following algorithm formula;

[0105] ;

[0106] In the formula, According to the dynamic calculation of the adjustment amount of the interference evaluation value D i (t) of the i-th wireless communication signal at time t, The adjustment function is represented by machine learning according to the actual situation.

[0107] S32, the power adjustment suppression mechanism calculates and outputs the adjusted signal power Padj after the dynamic spectrum allocation mechanism is executed, dynamically adjusts the power of the wireless communication signal, suppresses the signal interference, reduces the influence of the interference signal, and optimizes the stability and quality of the wireless communication signal;

[0108] The adjusted signal power Padj is output by the following algorithm formula;

[0109] ;

[0110] In the formula, Pin(t) represents the output power of the wireless communication signal at time t before adjustment.

[0111] In this embodiment, the method effectively adjusts and optimizes the interference abnormalities of wireless communication signals through a dynamic spectrum allocation mechanism and a power adjustment suppression mechanism. First, after discovering the interference abnormalities, the dynamic spectrum allocation mechanism is automatically triggered. This mechanism analyzes the unoccupied spectrum region at the frequency f of the wireless communication signal by calculating the spectrum hole degree V, and further outputs the adjustment amount Vadj of the spectrum hole degree V. The adjustment amount is based on the signal interference evaluation value D i (t) and the spectrum hole degree V, the appropriate frequency band allocation is dynamically determined by using an algorithm, ensuring that the signal can be transmitted on a relatively clean frequency band, thereby effectively reducing interference and improving communication quality. Then, the power adjustment suppression mechanism further calculates and adjusts the output power Pout of the signal according to the adjusted spectrum environment after the spectrum allocation adjustment, and suppresses the excessive interference by reducing the signal power, further optimizing the stability and quality of the signal. This series of dynamic adjustment measures ensures that the signal transmission is always in the best condition under different interference environments, effectively reducing the negative impact of interference. The beneficial effects of implementing this method are: through the combination of dynamic spectrum allocation and power adjustment, the interference problem in wireless communication can be accurately addressed, the communication signal quality is maintained, and the waste of spectrum resources is effectively reduced. The dynamic adjustment of the spectrum hole degree not only improves the utilization rate of resources, but also optimizes the signal transmission environment and reduces the communication quality decline 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.

[0112] Embodiment 5

[0113] Specifically, S4 includes S41 and S42.

[0114] S41, after the dynamic spectrum resource adjustment mechanism is executed, the signal feature vector set is collected again, and the adjusted spectrum hole degree Vadj and the adjusted signal power Padj are combined for comprehensive calculation and output of the comprehensive evaluation value Ftotal, to analyze the effect of the dynamic adjustment of the wireless communication signal;

[0115] The comprehensive evaluation value Ftotal is calculated and output by the following algorithm formula:

[0116] ;

[0117] In the formula, t1 represents the lower limit of time, t2 represents the upper limit of time, t1 and t2 constitute a time interval, and dt represents a small change in time.

[0118] S42. Setting a performance threshold F1 based on a communication performance standard for wireless communication signals, performing a performance evaluation based on the performance threshold F1 and the comprehensive evaluation value Ftotal, and analyzing the interference situation of the wireless communication signal collection after optimization after the dynamic spectrum allocation mechanism is executed. The specific evaluation contents are as follows;

[0119] When the comprehensive evaluation value Ftotal ≥ the performance threshold F1, it indicates that after the dynamic adjustment mechanism of spectrum resources is executed, wireless communication signal collection is abnormally affected by interference. In this case, the dynamic adjustment mechanism of spectrum resources is executed again to adjust wireless communication signal collection and dynamically adjust the spectrum voidness V to avoid allocating spectrum resources to areas with strong interference. Spectrum allocation is optimized, signal power is reduced, the impact of high phase noise is mitigated, and the frequency band with less interference is switched. Alternatively, the distribution of interference sources is optimized through spectrum aggregation and other methods.

[0120] 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.

[0121] In this embodiment, the method further improves the transmission quality and stability of wireless communication signals by re-evaluating and optimizing after the dynamic spectrum resource adjustment mechanism is executed. Specifically, after the dynamic spectrum resource adjustment mechanism is executed, a new set of signal feature vectors is first collected and extracted. This is then combined with the adjusted spectrum voidness Vadj and signal power Pout for comprehensive calculation, outputting a comprehensive evaluation value Ftotal. This comprehensive evaluation value is used to measure the interference status of the wireless communication signal after adjustment and provides a basis for subsequent optimization decisions. During the evaluation process, the comprehensive evaluation value Ftotal is compared with a preset performance threshold F1. If Ftotal ≥ F1, it indicates that the wireless communication signal is still experiencing significant interference, and the dynamic spectrum resource adjustment mechanism is automatically re-implemented. Specific adjustment measures include re-optimizing the spectrum voidness V, avoiding areas of strong interference, reducing signal power, mitigating the impact of high phase noise, or reallocating spectrum through methods such as spectrum aggregation to ensure an optimized signal transmission environment. If Ftotal < F1, it indicates that signal transmission is already in an ideal interference state, and the current spectrum resource allocation will be maintained to ensure wireless communication stability. This series of dynamic adjustment and evaluation steps enables real-time monitoring and optimization of wireless communication signal interference, effectively avoiding wasted spectrum resources and unnecessary power consumption while ensuring communication quality. Ultimately, this method achieves stable transmission of wireless communication signals in complex electromagnetic environments, improves interference suppression capabilities, optimizes spectrum resource utilization, and significantly enhances wireless communication performance and user experience.

[0122] Example 6

[0123] Specifically: S5 includes S51 and S52;

[0124] S51. After executing the dynamic adjustment mechanism of spectrum resources a second time, execute S41 a second time to calculate and output a second comprehensive evaluation value Ftotal2. Then, perform a difference calculation between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal to obtain a performance improvement difference value ΔF. Analyze the secondary optimization situation. The specific algorithm formula is: ΔF = Ftotal2 - Ftotal.

[0125] S52. Perform a secondary comparative evaluation analysis based on the output results of the performance improvement difference value △F to analyze the optimization situation, and generate an iterative mechanism based on the evaluation results. The specific evaluation contents are as follows;

[0126] 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;

[0127] 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 iterative mechanism is generated until the wireless communication signal acquisition optimization stops normally.

[0128] In this embodiment, the method further optimizes the wireless communication signal acquisition and interference suppression process by implementing a secondary dynamic spectrum resource adjustment mechanism. After the initial dynamic spectrum resource adjustment, a second comprehensive evaluation value Ftotal2 is recalculated and compared with the first evaluation value Ftotal to obtain a performance improvement difference value ΔF. This difference value is used to measure the optimization effect after the spectrum resource adjustment and provide a basis for subsequent evaluations. A secondary comparative evaluation is performed based on the performance improvement difference value ΔF. If ΔF ≥ 0, it indicates that the secondary optimization has achieved the desired goal. The current spectrum resource allocation state is maintained without further intervention and monitoring continues. If ΔF < 0, it indicates that the optimization effect is unsatisfactory and the interference problem of wireless communication signals has not been effectively suppressed. An iterative mechanism is generated to automatically adjust the spectrum resources until the wireless communication signal acquisition reaches the ideal state, at which point the optimization process can be stopped. Through this secondary optimization and evaluation process, the present invention achieves continuous optimization of wireless communication signals in complex interference environments, ensuring that the dynamic adjustment of spectrum resources can continuously adapt to environmental changes and improve communication quality and stability.

[0129] Example 7

[0130] 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;

[0131] The signal acquisition and feature extraction module collects wireless communication signals in real time by installing signal acquisition equipment at wireless communication base stations, performs spectrum analysis on wireless communication signals, extracts signal data, and then extracts features from the signal data to obtain a signal feature vector set.

[0132] 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;

[0133] The allocation and suppression module implements a dynamic spectrum resource adjustment mechanism after preliminary comparison and assessment to determine the presence of interference anomalies. The dynamic spectrum resource adjustment mechanism includes a dynamic spectrum allocation mechanism and a power adjustment and suppression mechanism.

[0134] After the interference source optimization mechanism is executed, the comprehensive performance analysis module performs a summary calculation to output a comprehensive evaluation value Ftotal, sets a performance threshold F1, and then performs a performance evaluation using the performance threshold F1 and the comprehensive evaluation value Ftotal to analyze the communication status of the wireless communication signal;

[0135] The iterative optimization module executes the dynamic adjustment mechanism of spectrum resources for a second time when the performance evaluation shows that the communication status of the wireless communication signal is abnormal, and at the same time 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.

[0136] While the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that various changes, modifications, substitutions, and alterations 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 wireless communication base stations to collect wireless communication signals in real time, performing spectrum analysis on the wireless communication signals, extracting signal data, and 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 comparison and evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; S3. After preliminary comparison and evaluation of the presence of interference anomaly, executing a dynamic adjustment mechanism for spectrum resources, the dynamic adjustment mechanism for spectrum resources including 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 to perform a performance evaluation to analyze the communication status of the wireless communication signal; S5. If the performance evaluation shows that the communication status of the wireless communication signal is abnormal, the dynamic adjustment mechanism of the spectrum resources is executed a second time, and the second comprehensive evaluation value Ftotal2 is calculated and outputted a second time. The second comprehensive evaluation value Ftotal2 is then differenced 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. Install a signal acquisition device on the wireless communication mechanism and set the acquisition frequency of the signal acquisition device to 10000 Hz to collect a number of wireless communication signals in real time, and perform spectrum analysis 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 to obtain the specific algorithm formula: 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 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 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 time t and the frequency f of the wireless communication signal. The specific algorithm formula is: ;in, Represents the value of pi, which is 3.

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

3. The high-speed signal acquisition method according to claim 2, wherein: Said S2 includes S21 and S22; S21. Perform dimensionless processing on the wireless communication signal periodicity strength P(t) at time t and the wireless communication signal phase noise strength Xh(t) at time t in the signal feature vector set, and combine the wireless communication signal periodicity strength P(t) at time t and the wireless communication signal phase noise strength Xh(t) 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. The high-speed signal acquisition method according to claim 3, wherein: S22, setting an abnormality threshold T based on the allowed interference range specified in the wireless communication standard, and then comparing the abnormality threshold T with the interference evaluation value D of the i-th wireless communication signal at time t. i (t) Conduct preliminary comparative assessments 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 interference of the i-th wireless communication signal is within the allowable interference range, and no intervention is required to continue monitoring.

5. The high-speed signal acquisition method according to claim 4, characterized in that: Said S3 includes S31 and S32; S31. After preliminary comparison and assessment of abnormal interference with wireless communication signals, 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 voidness V based on the signal feature vector concentration time t and the power spectrum density S(f, t) at the wireless communication signal frequency f, and analyzes the unoccupied areas in the spectrum; The spectrum voidness V is calculated and outputted by the following algorithm formula: ； Where 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 voidness Vadj is calculated and outputted by the following algorithm formula: ； Where, According to the interference evaluation value D of the i-th wireless communication signal at time t i (t) The amount of adjustment for dynamic calculation, Represents the adjustment function.

6. The 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 and outputting the adjustment signal power Padj after the dynamic spectrum allocation mechanism is executed, thereby suppressing signal interference; The adjusted signal power Padj is output through the following algorithm formula; ； Where Pin(t) represents the output power of the wireless communication signal at time t before adjustment.

7. The high-speed signal acquisition method according to claim 6, wherein: 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 a comprehensive calculation is performed based on the adjusted spectrum voidness Vadj and the adjusted signal power Padj to output a comprehensive evaluation value Ftotal, and the effect of the collection after the dynamic adjustment of the wireless communication signal is analyzed; The comprehensive evaluation value Ftotal is calculated and outputted by the following algorithm formula: ； Where t1 represents the lower limit of time, t2 represents the upper limit of time, and dt represents the small change in time.

8. The high-speed signal acquisition method according to claim 7, wherein: S42. Setting a performance threshold F1 based on a communication performance standard for wireless communication signals, performing a performance evaluation based on the performance threshold F1 and the comprehensive evaluation value Ftotal, and analyzing the interference situation of the wireless communication signal collection after optimization after the dynamic spectrum allocation mechanism is executed. 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. At this time, the dynamic adjustment mechanism of spectrum resources is executed again; 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.

9. The high-speed signal acquisition method according to claim 8, characterized in that: Said S5 includes S51 and S52; S51, after executing the dynamic adjustment mechanism of spectrum resources a second time, execute S41 a second time to calculate and output a second comprehensive evaluation value Ftotal2, then calculate the difference between the second comprehensive evaluation value Ftotal2 and the comprehensive evaluation value Ftotal to obtain a performance improvement difference value △F, and analyze the secondary optimization situation. The specific algorithm formula is: △F = Ftotal - Ftotal2; S52. Perform a secondary comparative evaluation analysis based on the output results of the performance improvement difference value △F to analyze the optimization situation, and generate an iterative mechanism based on the evaluation results. 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 iterative mechanism is generated until the wireless communication signal acquisition optimization stops 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, distribution 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 then 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 comparison and evaluation with the abnormal threshold T to determine the interference situation of the wireless communication signal; The allocation and suppression module executes a dynamic adjustment mechanism of spectrum resources after preliminary comparison and evaluation to determine the presence of interference anomalies. The dynamic adjustment mechanism of spectrum resources includes a dynamic spectrum allocation mechanism and a power adjustment and suppression mechanism. The comprehensive performance analysis module performs a summary calculation to output a comprehensive evaluation value Ftotal after the interference source optimization mechanism is executed, and sets a performance threshold F1. The performance threshold F1 is used to perform a performance evaluation on 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 status of the wireless communication signal is abnormal, and at the same time 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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