Safe wireless sensing system and method based on IRS assistance and storage medium

Abstract

The invention relates to the technical field of digital information transmission, and particularly discloses a safe wireless sensing system and method based on IRS assistance and a storage medium, and the system obtains environment characteristic data of an area where radars belong and angle information of each radar through an IRS wireless sensing platform, carries out comprehensive analysis to obtain radar angle abnormal indexes of each radar, and transmits the radar angle abnormal indexes to the IRS wireless sensing platform. Each to-be-verified compliant radar is obtained through a preset screening mechanism, radar angle abnormal deviation values of the to-be-verified compliant radars are obtained and averaged to obtain an angle abnormal deviation average value of the to-be-verified compliant radars, so that an adaptive IRS reflection coefficient is matched, and safety regulation and control are performed on each to-be-verified compliant radar; and then the angle evaluation value of each to-be-verified compliant radar after safety regulation and control is acquired, and is compared with the compliant radar angle evaluation threshold value, so that each compliant radar is screened out, and finally safety wireless sensing is completed, thereby realizing accurate regulation and control and optimization of the radars, and improving the accuracy of wireless sensing.

Description

Technical Field

[0001] The present invention relates to the technical field of digital information transmission, and in particular to an IRS-assisted secure wireless sensing system, method and storage medium. Background Art

[0002] With the rapid development of wireless communication technology, wireless sensing technology has increasingly become the focus of research and practice. However, with the continuous advancement of technology and the continuous expansion of application scenarios, wireless sensing technology is facing increasingly severe security challenges, especially the potential risk of target information being intercepted and abused in an irregular manner, which poses a major challenge to protecting data privacy and security. Although electromagnetic stealth materials can address this problem to a certain extent by weakening reflected signals, their application effect is limited by coating thickness, incident angle and the inherent properties of the material itself. In contrast, intelligent reflecting surface (IRS) technology has successfully reshaped the wireless propagation environment by precisely controlling the amplitude and phase of the reflecting element, which not only helps to improve the capacity and perception accuracy of wireless communications, but also enhances the overall efficiency and adaptability of the system, opening up a new solution path for the field of radar wireless sensing.

[0003] For example, the invention patent with announcement number CN114726687B announces a channel estimation method for a millimeter-wave massive multiple-input multiple-output (MIMO) system assisted by an intelligent reflecting surface (IRS), and the steps are as follows: the base station receives pilot signals sent by different users through the uplink; the channel model is converted into an angle domain cascade channel; the sparsity of the row and column structures of the angle domain cascade channel is analyzed; the channel estimation problem is converted into a compressed sensing reconstruction problem, and a compressed sensing algorithm is used to perform channel estimation in combination with the row and column structure sparsity of the angle domain cascade channel; finally, the angle domain channel is converted into a spatial channel to obtain an estimated cascade channel.

[0004] For example, the invention patent with announcement number CN113363706B announces a radar channel estimation method based on a set of transmitting and receiving antennas. A set of fixed sub-array encoders are separated, one of the sub-arrays is used as the receiving end of radar perception, and the remaining sub-arrays are used as the transmitting end; the radar transmitting end uses a pulse signal to separate the leakage signal and the object reflection signal from each other in the time domain; the radar channel side information is estimated through the waveform of the radar transmitting end signal and a multiple classification method is used at the receiving end.

[0005] Combining the above technical solutions, it is found that currently when performing security perception of radar, people often only focus on a single analysis of the radar channel, and the process lacks flexibility. This limited analysis method will lead to deviations in the wireless perception results of the radar, thereby weakening the accuracy of radar screening and affecting the performance and reliability of the wireless perception system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an IRS-assisted secure wireless sensing system, method and storage medium, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides a safe wireless sensing system based on IRS assistance, including: a screening module for compliant radars to be verified, which is used for the IRS wireless sensing platform to obtain environmental feature data of the area to which the radar belongs, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs, and at the same time obtaining the angle information of each radar in the area to which the radar belongs, and combining the environmental anomaly index of the area to which the radar belongs, comprehensively analyzing and obtaining the radar angle anomaly index of each radar, obtaining each compliant radar to be verified through a preset screening mechanism, obtaining and performing difference processing on the radar angle anomaly index of each compliant radar to be verified and the radar angle anomaly threshold preset in the wireless sensing library, obtaining the radar angle anomaly deviation value of each compliant radar to be verified, and performing mean processing to obtain the mean of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient, and finally performing safety regulation on each compliant radar to be verified through the adapted IRS reflection coefficient.

[0008] The compliant radar screening module is used to obtain the characteristic data of each compliant radar to be verified after security regulation, thereby comprehensively analyzing the radar angle abnormality indicators of each compliant radar to be verified to obtain the angle evaluation value of each compliant radar to be verified, and compare the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar and finally completing secure wireless perception.

[0009] As a further solution, the environmental anomaly index of the area to which the radar belongs is specifically analyzed as follows: The environmental characteristic data of the area to which the radar belongs specifically include the maximum intensity of electromagnetic interference in the area to which the radar belongs during the radar monitoring period, the area of ​​physical obstacles in the area to which the radar belongs during the radar monitoring period, the area of ​​the area to which the radar belongs, the water vapor content in the area to which the radar belongs during the radar monitoring period, the maximum power of the noise signal in the area to which the radar belongs during the radar monitoring period, and the maximum wind speed in the area to which the radar belongs during the radar monitoring period.

[0010] The ratio of the physical obstacle area of ​​the radar area during the radar monitoring period to the area of ​​the radar area is processed, and the proportion of the physical obstacle area of ​​the radar area during the radar monitoring period is obtained.

[0011] The environmental anomaly index of the radar area is obtained through comprehensive analysis of the maximum electromagnetic interference intensity of the radar area during the radar monitoring period, the proportion of physical obstacle area in the radar area during the radar monitoring period, the water vapor content in the radar area during the radar monitoring period, the maximum power of the noise signal in the radar area during the radar monitoring period and the maximum wind speed in the radar area during the radar monitoring period.

[0012] As a further solution, the radar angle anomaly index of each radar is specifically analyzed as follows: The angular information of each radar in the area to which the radar belongs specifically includes the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, and the Doppler frequency of each radar during the radar monitoring period.

[0013] The radar angle anomaly index of each radar is obtained through comprehensive analysis of the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, the Doppler frequency of each radar during the radar monitoring period, and the environmental anomaly index of the area to which the radar belongs.

[0014] As a further solution, the preset screening mechanism is used to obtain the compliance radars to be verified. The specific screening process is as follows: The preset screening mechanism is to compare the radar angle anomaly index of each radar with the radar angle anomaly threshold preset in the wireless sensing library. If the radar angle anomaly index of a radar is smaller than the radar angle anomaly threshold, the radar is recorded as a compliant radar to be verified. Thus, a number of radars corresponding to radar angle anomaly indexes smaller than the radar angle anomaly threshold are counted and marked as compliant radars to be verified.

[0015] As a further solution, the safety regulation of each compliant radar to be verified is performed by adapting the IRS reflection coefficient. The specific regulation process is as follows: According to the average value of the abnormal angle deviation of the compliant radar to be verified, the initial IRS reflection coefficient preset in the wireless sensing library is matched. The IRS wireless sensing platform optimizes the initial IRS reflection coefficient through the built-in optimization algorithm, and finally obtains the adapted IRS reflection coefficient. The adapted IRS reflection coefficient is then used to safely regulate each compliant radar to be verified.

[0016] As a further solution, the specific analysis process of each radar angle evaluation value to be verified is as follows: The angle evaluation value of each compliant radar to be verified is obtained through comprehensive analysis of the signal-to-noise ratio of each compliant radar to be verified during the angle evaluation period, the signal strength of each compliant radar to be verified during the angle evaluation period, the maximum electromagnetic interference intensity of the area to which each compliant radar to be verified belongs during the angle evaluation period, the maximum power of the noise signal in the area to which each compliant radar to be verified belongs during the angle evaluation period, the shortest distance between each compliant radar to be verified and the IRS wireless sensing platform, and the radar angle anomaly index of each compliant radar to be verified. The specific acquisition method is as follows:

[0017] In the formula, represents the Qth radar angle evaluation value to be verified. represents the signal-to-noise ratio of the Qth compliant radar to be verified during the angle evaluation period, represents the shortest distance between the Qth compliant radar to be verified and the IRS wireless sensing platform, represents the signal strength of the Qth radar to be verified during the angle evaluation period, It indicates the maximum electromagnetic interference intensity of the area where the Qth radar to be verified for compliance belongs during the angle evaluation period. It represents the maximum power of the noise signal in the area where the Qth radar to be verified for compliance belongs during the angle evaluation period. Indicates the radar angle anomaly index of the Qth compliant radar to be verified, Indicates the angle evaluation impact factor of the shortest distance preset by the wireless sensing library, Indicates the angle evaluation influencing factor of the signal strength preset by the wireless sensing library, Indicates the angle assessment impact factor of the maximum electromagnetic interference intensity preset by the wireless sensing library, Indicates the angle evaluation impact factor of the maximum power of the noise signal preset by the wireless sensing library, It represents the angle evaluation influencing factor of the radar angle anomaly index preset by the wireless sensing library. Q is the number of each compliant radar to be verified. P, P is the total number of compliant radars to be verified, Indicates the minimum signal-to-noise ratio preset by the wireless sensing library.

[0018] As a further solution, the compliant radars are screened out, and the specific screening process is: The angle evaluation value of each compliant radar to be verified is compared with the compliant radar angle evaluation threshold preset in the wireless sensing library. If the angle evaluation value of a compliant radar to be verified is greater than or equal to the compliant radar angle evaluation threshold, the compliant radar to be verified is recorded as a compliant radar. In this way, several compliant radars to be verified whose compliant radar angle evaluation values ​​are greater than or equal to the compliant radar angle evaluation threshold are screened out and recorded as compliant radars.

[0019] The second aspect of the present invention provides a safe wireless sensing method based on IRS assistance, including: S1. The IRS wireless sensing platform obtains environmental feature data of the area to which the radar belongs, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs, and at the same time obtains the angle information of each radar in the area to which the radar belongs, and combines the environmental anomaly index of the area to which the radar belongs, comprehensively analyzes and obtains the radar angle anomaly index of each radar, obtains each compliant radar to be verified through a preset screening mechanism, obtains and performs difference processing on the radar angle anomaly index of each compliant radar to be verified and the radar angle anomaly threshold preset in the wireless sensing library, obtains the radar angle anomaly deviation value of each compliant radar to be verified, and performs mean processing to obtain the mean of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient, and finally performing security regulation on each compliant radar to be verified by adapting the IRS reflection coefficient.

[0020] S2. Obtain the characteristic data of each compliant radar to be verified after security control, and thereby obtain the angle evaluation value of each compliant radar to be verified by comprehensively analyzing the radar angle anomaly indicators of each compliant radar to be verified, and compare the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar and finally completing secure wireless perception.

[0021] A third aspect of the present invention provides a computer-readable storage medium for storing a program, wherein the program, when executed by a processor, implements an IRS-assisted secure wireless sensing system.

[0022] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a secure wireless sensing system, method and storage medium based on IRS assistance, obtains environmental feature data of the area to which the radar belongs through the IRS wireless sensing platform, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs, taking into account the influence of environmental anomaly factors in the wireless sensing process, and providing a basis for subsequent radar angle anomaly index analysis. At the same time, the angle information of each radar in the area to which the radar belongs is obtained, and combined with the environmental anomaly index of the area to which the radar belongs, a comprehensive analysis is performed to obtain the radar angle anomaly index of each radar, which provides an important basis for subsequent screening and verification. Through a preset screening mechanism, each compliant radar to be verified is obtained, and the radar angle anomaly index of each compliant radar to be verified is obtained and the radar angle anomaly threshold preset in the wireless sensing library is processed by difference, so as to obtain each compliant radar to be verified. The radar angle anomaly deviation value of the compliant radar provides an accurate data basis for the subsequent mean calculation and matching of the adaptive IRS reflection coefficient, and the mean processing is performed to obtain the mean value of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adaptive IRS reflection coefficient, and finally performing safety regulation on each compliant radar to be verified by adapting the IRS reflection coefficient, thereby improving the accuracy of safety perception; then the characteristic data of each compliant radar to be verified after safety regulation is obtained, thereby comprehensively analyzing the radar angle anomaly indicators of each compliant radar to be verified to obtain the angle evaluation value of each compliant radar to be verified, and comparing the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar, and finally completing safe wireless perception, ensuring the overall safety and reliability of the system.

[0023] (2) The present invention obtains environmental characteristic data of the area to which the radar belongs through the IRS wireless sensing platform, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs. The environmental perception capability of the IRS wireless sensing platform is enhanced by evaluating the environmental anomaly index, thereby improving the adaptability and robustness of the IRS wireless sensing platform. At the same time, the angle information of each radar in the area to which the radar belongs is obtained, and combined with the environmental anomaly index of the area to which the radar belongs, the radar angle anomaly index of each radar is obtained through comprehensive analysis. Through a preset screening mechanism, each compliant radar to be verified is obtained. The first screening operation helps to quickly identify each compliant radar in the subsequent process.

[0024] (3) The present invention obtains and performs difference processing on the radar angle anomaly index of each compliant radar to be verified and the radar angle anomaly threshold preset in the wireless perception library to obtain the radar angle anomaly deviation value of each compliant radar to be verified, and performs mean processing to obtain the mean value of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient. Finally, each compliant radar to be verified is safely regulated by adapting the IRS reflection coefficient, thereby achieving precise regulation and optimization of the radar and improving the accuracy of wireless perception.

[0025] (4) The present invention obtains the characteristic data of each compliant radar to be verified after security control, thereby comprehensively analyzing the radar angle anomaly indicators of each compliant radar to be verified to obtain the angle evaluation value of each compliant radar to be verified, and compares the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar, and finally completing the secure wireless perception. Through two screenings, the compliant radar can be accurately screened out, thereby improving the level of secure wireless perception. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0027] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0028] Figure 2 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0030] Reference Figure 1 As shown, the first aspect of the present invention provides a secure wireless sensing system based on IRS assistance, including: a compliance radar screening module to be verified, a compliance radar screening module and a wireless sensing library.

[0031] The compliance radar screening module to be verified is connected to the compliance radar screening module, and both the compliance radar screening module to be verified and the compliance radar screening module are connected to the wireless sensing library.

[0032] The screening module for the radars to be verified is used for the IRS wireless sensing platform to obtain environmental feature data of the area to which the radar belongs, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs, and at the same time obtaining the angle information of each radar in the area to which the radar belongs, and combining the environmental anomaly index of the area to which the radar belongs, comprehensively analyzing and obtaining the radar angle anomaly index of each radar, obtaining each compliant radar to be verified through a preset screening mechanism, obtaining and performing difference processing on the radar angle anomaly index of each compliant radar to be verified and the radar angle anomaly threshold preset in the wireless sensing library, obtaining the radar angle anomaly deviation value of each compliant radar to be verified, and performing mean processing to obtain the mean value of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient, and finally performing safety regulation on each compliant radar to be verified through the adapted IRS reflection coefficient.

[0033] In a specific embodiment, the above-mentioned IRS wireless sensing platform specifically refers to a platform for wireless sensing of each radar in the area to which the radar belongs by adjusting the IRS reflection coefficient. The IRS wireless sensing platform can be connected to each radar through radio communication. The IRS wireless sensing platform is internally provided with a SIEM (security information and event management) system that can collect, integrate and analyze logs and event data from different radars through log collection technology and data integration technology, which can be used to obtain each evaluation period; it is also provided with an iterative optimization algorithm based on Dinkelbach and semidefinite relaxation (SDR) technology, continuous convex approximation and SDR technology, radar simulation software, signal processing technology based on short-time Fourier transform (STFT) and Doppler measurement technology; of course, it also includes a radar beam width measuring instrument, a laser rangefinder, a dedicated signal-to-noise ratio tester and a power meter.

[0034] It should be explained that the above-mentioned IRS wireless sensing platform will obtain and iteratively optimize the initial IRS reflection coefficient based on the monotonic relationship between radar perception probability and radar reception signal-to-noise ratio, as well as the signal-to-noise ratio constraint and IRS reflection phase shift modulus constraint of each compliant radar to be verified. The algorithm first constructs an objective function to minimize the maximum signal-to-noise ratio of the non-compliant radar. In order to achieve this goal, the IRS wireless sensing platform will introduce relaxation variables to linearize the objective function, and then use the built-in continuous convex approximation and SDR technology to transform the original non-convex optimization problem into a convex optimization problem. Through iterative optimization, the adaptive IRS reflection coefficient that maximizes the reception signal-to-noise ratio of each compliant radar to be verified is finally found, so that the reception signal-to-noise ratio of each compliant radar to be verified is greater than the minimum signal-to-noise ratio preset by the wireless sensing library, thereby realizing the safe regulation of each compliant radar to be verified.

[0035] Among them, IRS has the ability to enhance the wireless signal of the desired receiving end and suppress the wireless signal of the undesired receiving end. It can be used in wireless sensing systems to enhance radar perception or weaken radar perception, making the target invisible to radar; the key advantage of IRS compared with traditional electromagnetic stealth materials is real-time reconfigurability, which can flexibly control the incident signal within a larger frequency and angle range; IRS is composed of a large number of low-cost passive reflective elements, each of which can independently reflect the incident signal by controlling its amplitude and phase, and collaboratively reflect the signal to the direction of the IRS wireless sensing platform. These elements are dynamically configured according to the needs of the IRS wireless sensing platform. IRS can reshape the wireless propagation environment, thereby assisting the IRS wireless sensing platform to improve communication capacity and reliability, improve the overall efficiency and adaptability of the IRS wireless sensing platform, and assist wireless perception to improve the perception accuracy of the IRS wireless sensing platform.

[0036] Specifically, the environmental anomaly index of the area to which the radar belongs is analyzed in the following process: The environmental characteristic data of the area to which the radar belongs specifically include the maximum intensity of electromagnetic interference in the area to which the radar belongs during the radar monitoring period, the area of ​​physical obstacles in the area to which the radar belongs during the radar monitoring period, the area of ​​the area to which the radar belongs, the water vapor content in the area to which the radar belongs during the radar monitoring period, the maximum power of the noise signal in the area to which the radar belongs during the radar monitoring period, and the maximum wind speed in the area to which the radar belongs during the radar monitoring period.

[0037] It should be explained that the above-mentioned radar monitoring period specifically refers to the time period from the beginning of monitoring of the radar area to the end of monitoring, which is recorded as the radar monitoring period and can be obtained through the SIEM system built into the IRS wireless sensing platform; the maximum intensity of electromagnetic interference in the area to which the above-mentioned radar belongs during the radar monitoring period specifically refers to the intensity of the maximum electromagnetic interference signal in the area to which the radar belongs during the radar monitoring period, which can be obtained through the electromagnetic field strength measuring instrument deployed in the area to which the radar belongs; the physical obstacle area in the area to which the above-mentioned radar belongs during the radar monitoring period specifically refers to the total area of ​​all physical obstacles in the radar area projected on the horizontal plane during the radar monitoring period, among which physical obstacles are various objects that hinder or interfere with radar waves, such as trees, buildings, mountains, hills and gullies, etc. The remote sensing image data of the radar area can be obtained through satellite remote sensing technology, and the remote sensing image can be analyzed by combining the geographic information system (GIS) technology built into the IRS wireless sensing platform. Preprocessing and analysis are performed to extract information about physical obstacles and calculate their areas; the area of ​​the area to which the above-mentioned radar belongs specifically refers to the geographical area that the radar system can effectively cover or monitor when it is operating, which can be obtained through the radar simulation software built into the IRS wireless sensing platform; the water vapor content in the area to which the above-mentioned radar belongs during the radar monitoring period specifically refers to the ratio of the mass of water vapor contained in the atmosphere of the area to which the radar belongs during the radar monitoring period to the total mass of humid air, which can be obtained through the humidity sensor deployed in the area to which the radar belongs; the maximum power of the noise signal in the area to which the above-mentioned radar belongs during the radar monitoring period specifically refers to the maximum power value of the noise signal received by the area to which the radar belongs during the radar monitoring period, which can be obtained through the noise measurement receiver deployed in the area to which the radar belongs; the maximum wind speed in the area to which the above-mentioned radar belongs during the radar monitoring period specifically refers to the maximum value of the wind speed observed in the area to which the radar belongs during the radar monitoring period, which can be obtained through the anemometer deployed in the area to which the radar belongs.

[0038] The ratio of the physical obstacle area of ​​the radar area during the radar monitoring period to the area of ​​the radar area is processed, and the proportion of the physical obstacle area of ​​the radar area during the radar monitoring period is obtained.

[0039] The environmental anomaly index of the radar area is obtained by comprehensive analysis of the maximum intensity of electromagnetic interference in the radar area during the radar monitoring period, the proportion of physical obstacles in the radar area during the radar monitoring period, the water vapor content in the radar area during the radar monitoring period, the maximum power of the noise signal in the radar area during the radar monitoring period, and the maximum wind speed in the radar area during the radar monitoring period. The specific acquisition method is as follows: ; In the formula, It indicates the maximum intensity of electromagnetic interference in the area to which the radar belongs at the monitoring time T. It indicates the proportion of physical obstacles in the radar area at the monitoring time T. It indicates the water vapor content in the radar area at the monitoring time T. It indicates the maximum power of the noise signal in the radar area at the monitoring time T. Indicates the maximum wind speed in the radar area at monitoring time T. It indicates the environmental anomaly index of the area to which the radar belongs. Physical obstacles will block or reflect electromagnetic waves, thus affecting the receiving effect of the radar system. The larger the proportion of physical obstacles, the more serious the electromagnetic interference. At the same time, the reflection of the building surface and the swaying of trees in the physical obstacles will generate noise signals. Therefore, the increase in the proportion of physical obstacle area will also lead to an increase in the maximum power of the noise signal, and ultimately increase the environmental anomaly index of the area to which the radar belongs. Water vapor will absorb and scatter electromagnetic waves, resulting in signal attenuation. Especially in rainy or high humidity environments, electromagnetic interference will be significantly enhanced, resulting in an increase in the environmental anomaly index of the area to which the radar belongs. Strong winds will cause the radar antenna to shake or deviate, affecting the radar's signal reception, thereby increasing the environmental anomaly index of the area to which the radar belongs.

[0040] The environmental anomaly weight factor representing the maximum electromagnetic interference intensity preset by the wireless sensing library, The environmental anomaly weight factor representing the area ratio of physical obstacles preset by the wireless sensing library, Represents the environmental anomaly weight factor of the water vapor content preset by the wireless sensing library, The environmental anomaly weight factor representing the maximum power of the noise signal preset by the wireless sensing library, Indicates the environmental anomaly weight factor of the maximum wind speed preset by the wireless sensing library.

[0041] It should be explained that the environmental anomaly weight factors corresponding to the maximum intensity of electromagnetic interference, the proportion of the area of ​​physical obstacles, the water vapor content, the maximum power of the noise signal and the maximum wind speed are respectively used to adjust the importance of the maximum intensity of electromagnetic interference, the proportion of the area of ​​physical obstacles, the water vapor content, the maximum power of the noise signal and the maximum wind speed in the process of analyzing and obtaining the environmental anomaly index. For example, there is a pre-set mapping relationship between the real-time environmental feature data and the corresponding environmental anomaly weight factor in the wireless sensing library. The environmental anomaly weight factor corresponding to the real-time environmental feature data can be matched through the pre-set mapping relationship. The maximum intensity of electromagnetic interference, the proportion of the area of ​​physical obstacles, the water vapor content, the maximum power of the noise signal and the maximum wind speed are respectively matched with the pre-set mapping relationship to obtain the environmental anomaly weight factor corresponding to the maximum intensity of electromagnetic interference, the environmental anomaly weight factor corresponding to the area of ​​physical obstacles, the environmental anomaly weight factor of the water vapor content, the environmental anomaly weight factor corresponding to the maximum power of the noise signal and the environmental anomaly weight factor corresponding to the maximum wind speed. In this embodiment, the value range is (0, 1).

[0042] M is the starting time point of the radar monitoring period, N is the ending time point of the radar monitoring period, and T is any time point of the radar monitoring period, T∈[M, N].

[0043] Furthermore, the radar angle anomaly index of each radar is specifically analyzed as follows: The angular information of each radar in the area to which the radar belongs specifically includes the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, and the Doppler frequency of each radar during the radar monitoring period.

[0044] It should be explained that the beam width of each of the above-mentioned radars during the radar monitoring period specifically refers to the width of its beam in the main lobe direction when each radar antenna receives electromagnetic waves, which can be obtained through the radar beam width measuring instrument built into the IRS wireless sensing platform; the antenna spacing of each of the above-mentioned radars during the radar monitoring period specifically refers to the straight-line distance between different receiving antennas in the radar system, which can be obtained through the laser rangefinder built into the IRS wireless sensing platform; the channel coherence interval of each of the above-mentioned radars during the radar monitoring period specifically refers to the time interval between two pulse signals received by the radar system, which can be obtained through the signal processing technology based on short-time Fourier transform (STFT) built into the IRS wireless sensing platform; the Doppler frequency of each of the above-mentioned radars during the radar monitoring period specifically refers to the difference between the frequency of the electromagnetic wave reflected back by the moving object emitted by each radar and the emission frequency, which can be obtained through the Doppler measurement technology built into the IRS wireless sensing platform.

[0045] The radar angle anomaly index of each radar is obtained by comprehensive analysis of the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, the Doppler frequency of each radar during the radar monitoring period, and the environmental anomaly index of the area to which the radar belongs. The specific acquisition method is as follows:

[0046] In the formula, all parameters are values ​​without units. represents the beam width of the Rth radar during the radar monitoring period, represents the antenna spacing of the Rth radar during the radar monitoring period, represents the channel coherence interval of the Rth radar during the radar monitoring period, represents the Rth Doppler frequency during the radar monitoring period, It represents the environmental anomaly index of the area where the radar belongs, e is a natural constant, represents the radar angle anomaly index of the Rth radar. When the antenna spacing increases, the angular resolution of the radar system will increase, because a larger antenna spacing can produce a larger phase difference, thereby more accurately measuring the angular position of the target. However, this will cause the beam width to become narrower in angle, because a narrower beam can locate the target more accurately, ultimately reducing the radar angle anomaly index. A longer channel coherence interval can improve the measurement accuracy and resolution of the radar system, and a higher Doppler frequency can improve the angle measurement accuracy of the radar system, thereby reducing the radar angle anomaly index. When the environmental anomaly index of the radar area is large, the maximum electromagnetic interference intensity and water vapor content are also greater. Strong electromagnetic interference will cause the radar system to fail to work properly or its performance will be significantly reduced. High water vapor content will reduce the propagation characteristics of the radar beam, causing the radar signal to attenuate and scatter during propagation, thereby reducing the coherence of the signal, resulting in a decrease in the channel coherence interval, and ultimately increasing the radar angle anomaly index.

[0047] The environmental anomaly index of the radar area specifically refers to the index obtained through comprehensive analysis of the maximum intensity of electromagnetic interference in the radar area during the radar monitoring period, the proportion of physical obstacle area in the radar area during the radar monitoring period, the water vapor content in the radar area during the radar monitoring period, the maximum power of noise signal in the radar area during the radar monitoring period, and the maximum wind speed in the radar area during the radar monitoring period during the environmental anomaly assessment process.

[0048] Indicates the angle abnormality impact weight of the beam width preset by the wireless sensing library, Indicates that the angle of the antenna spacing preset by the wireless sensing library affects the weight abnormally. Indicates the angle anomaly impact weight of the channel coherence interval preset by the wireless sensing library, Indicates the angle anomaly impact weight of the Doppler frequency preset by the wireless sensing library. Represents the angle anomaly impact weight of the environmental anomaly index preset by the wireless sensing library.

[0049] It should be explained that the angle anomaly influence weights corresponding to the beam width, antenna spacing, channel coherence interval, Doppler frequency and environmental anomaly index are respectively used to adjust the importance of the beam width, antenna spacing, channel coherence interval, Doppler frequency and environmental anomaly index in the process of analyzing the radar angle anomaly index. For example, there is a pre-set mapping relationship between the real-time angle information of each radar and the corresponding angle anomaly influence weight in the wireless sensing library. The angle anomaly influence weights corresponding to the real-time angle information of each radar can be matched through the pre-set mapping relationship. The beam width, antenna spacing, channel coherence interval, Doppler frequency and environmental anomaly index are respectively matched with the pre-set mapping relationship to obtain the angle anomaly influence weight corresponding to the beam width, the angle anomaly influence weight corresponding to the antenna spacing, the angle anomaly influence weight corresponding to the channel coherence interval, the angle anomaly influence weight corresponding to the Doppler frequency and the angle anomaly influence weight corresponding to the environmental anomaly index. In this embodiment, the value range is (0, 1).

[0050] R is the number of each radar, G, G is the total number of radars.

[0051] Specifically, the compliance radars to be verified are obtained through a preset screening mechanism, and the specific screening process is: The preset screening mechanism is to compare the radar angle anomaly index of each radar with the radar angle anomaly threshold preset in the wireless sensing library. If the radar angle anomaly index of a radar is smaller than the radar angle anomaly threshold, the radar is recorded as a compliant radar to be verified. Thus, a number of radars corresponding to radar angle anomaly indexes smaller than the radar angle anomaly threshold are counted and marked as compliant radars to be verified.

[0052] It should be explained that the above-mentioned radar angle anomaly threshold is used to determine whether the radar angle anomaly index of a certain radar reaches the critical value of the compliance standard to be verified when performing radar angle anomaly assessment. It is used to quantify the angle anomaly status of each radar and help the IRS wireless sensing platform determine whether to record the radar as a compliant radar to be verified; if the radar angle anomaly index of a certain radar is less than the radar angle anomaly threshold, it means that the radar is compliant and is recorded as a compliant radar to be verified; if the radar angle anomaly index of a certain radar is greater than or equal to the radar angle anomaly threshold, it means that the radar is non-compliant and is recorded as a non-compliant radar.

[0053] It should be explained that the above-mentioned obtaining of the compliant radars to be verified through the preset screening mechanism is the first screening of this embodiment, which aims to select a batch of radars whose radar angle anomaly indicators are less than the radar angle anomaly threshold as the compliant radars to be verified. This screening process helps the IRS wireless sensing platform to efficiently process a large amount of radar data, quickly exclude those radars that obviously do not meet the compliant radar standards, and lay the foundation for subsequent screening of compliant radars; however, this screening process does not meet the accuracy requirements of the final verification. The main purpose of the next screening is to conduct a more in-depth verification and confirmation of the radars marked as "compliant radars to be verified" in the first screening. Through these two screening processes, the IRS wireless sensing platform can more accurately identify compliant radars, which helps to improve the accuracy and efficiency of the overall radar screening.

[0054] Furthermore, the safety regulation of each compliant radar to be verified is performed by adapting the IRS reflection coefficient, and the specific regulation process is as follows: According to the average value of the abnormal angle deviation of the compliant radar to be verified, the initial IRS reflection coefficient preset in the wireless sensing library is matched. The IRS wireless sensing platform optimizes the initial IRS reflection coefficient through the built-in optimization algorithm, and finally obtains the adapted IRS reflection coefficient. The adapted IRS reflection coefficient is then used to safely regulate each compliant radar to be verified.

[0055] It should be explained that the above matching is to obtain the initial IRS reflection coefficient preset by the wireless sensing library. The specific matching process is: The radar angle anomaly index of each compliant radar to be verified is subtracted from the radar angle anomaly threshold preset in the wireless sensing library to obtain the radar angle anomaly deviation value of each compliant radar to be verified, and the average is processed to obtain the average of the angle anomaly deviations of the compliant radar to be verified, and matched with the initial IRS reflection coefficient corresponding to the average interval of the angle anomaly deviations of each compliant radar to be verified preset in the wireless sensing library, thereby obtaining the initial IRS reflection coefficient of the average angle anomaly deviation of the compliant radar to be verified.

[0056] The initial IRS reflection coefficient corresponding to the above-mentioned average value of the compliant radar angle anomaly deviation is formulated by an authoritative radar wireless perception monitoring agency or standardization organization through data collection, collation, and encryption. The average value of the compliant radar angle anomaly deviation is carefully divided, and the corresponding initial IRS reflection coefficient is designed for each compliant radar angle anomaly deviation range based on radar security perception standards, threat and risk analysis, business needs, and compliance requirements.

[0057] For example, if the mean value of the abnormal angle deviation of a certain compliant radar to be verified in this example is 5, it belongs to [3, 5] corresponding to the mean value interval of the abnormal angle deviation of the compliant radar to be verified, and the initial IRS reflection coefficient corresponding to the mean value interval of the abnormal angle deviation of the compliant radar to be verified [3, 5] preset in the wireless sensing library is "2".

[0058] It should be explained that the above-mentioned IRS wireless sensing platform uses a built-in optimization algorithm, which is an iterative optimization algorithm based on Dinkelbach and semidefinite relaxation (SDR) technology; the above-mentioned optimization of the initial IRS reflection coefficient is specifically that the IRS wireless sensing platform will first construct an objective function based on the monotonic relationship between the radar perception probability and the radar reception signal-to-noise ratio, as well as the signal-to-noise ratio constraints of each compliant radar to be verified and the IRS reflection phase shift modulus constraints, aiming to minimize the maximum signal-to-noise ratio of the non-compliant radar. The objective function uses the IRS reflection coefficient as a variable, and the objective function is set to the maximum value of the signal-to-noise ratio of the non-compliant radar, that is, among all non-compliant radars, the one with the highest signal-to-noise ratio is selected as the optimization target. The goal is to find a set of IRS reflection coefficient, so that the maximum signal-to-noise ratio is as small as possible; in order to achieve this goal, the IRS wireless sensing platform will introduce relaxation variables to linearize the objective function, and then use continuous convex approximation and SDR technology to transform the original non-convex optimization problem into a convex optimization problem, and then iterate the initial IRS reflection system through the built-in iterative optimization algorithm based on Dinkelbach and semidefinite relaxation (SDR) technology to gradually approach the optimal solution. In each iteration, the values ​​of the objective function and constraints are calculated according to the current IRS reflection coefficient, and the IRS reflection coefficient is updated to reduce the objective function value. The iterative process is repeated until the stopping condition is met (the change in the objective function value is less than the objective function threshold preset by the wireless sensing library).

[0059] It needs to be explained that the security regulation of each compliant radar to be verified by adapting the IRS reflection coefficient specifically means that the IRS wireless sensing platform can enable the compliant radar to be verified to receive a stronger reflected signal from the IRS wireless sensing platform by setting the adapted IRS reflection coefficient, thereby improving its perception capability, which helps the legitimate radar to more accurately detect, locate and track targets; at the same time, adapting the IRS reflection coefficient will weaken the signal strength received by the non-compliant radar from the IRS wireless sensing platform, thereby reducing its perception capability, which helps to protect the perception results of the compliant radar to be verified from being stolen or interfered with by the non-compliant radar, thereby achieving security regulation of each compliant radar to be verified.

[0060] The compliant radar screening module is used to obtain the characteristic data of each compliant radar to be verified after security regulation, thereby comprehensively analyzing the radar angle anomaly indicators of each compliant radar to be verified to obtain the angle evaluation value of each compliant radar to be verified, and comparing the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar and finally completing secure wireless perception.

[0061] Specifically, the characteristic data of each compliant radar to be verified include the signal-to-noise ratio of each compliant radar to be verified in the angle evaluation period, the signal strength of each compliant radar to be verified in the angle evaluation period, the shortest distance between each compliant radar to be verified and the IRS wireless sensing platform, the electromagnetic interference intensity of the area to which each compliant radar to be verified belongs at each angle evaluation moment in the angle evaluation period, and the noise signal power.

[0062] It should be explained that the above-mentioned angle evaluation period specifically refers to the time period from the start of the angle evaluation of each to-be-verified compliant radar to the end of the evaluation, which is recorded as the angle evaluation period. The above-mentioned angle evaluation moments refer to the moments when the angle evaluation of each to-be-verified compliant radar is performed, which can be obtained through the SIEM system built into the IRS wireless sensing platform; the signal-to-noise ratio of the above-mentioned to-be-verified compliant radars in the angle evaluation period specifically refers to the ratio of the target echo signal power received by each to-be-verified compliant radar in the angle evaluation period to the background noise power, which can be obtained through the dedicated signal-to-noise ratio tester built into the IRS wireless sensing platform; the signal strength of the above-mentioned to-be-verified compliant radars in the angle evaluation period specifically refers to the power of the echo signal from the target direction received by the radar system, which can be obtained through the power meter built into the IRS wireless sensing platform. ; The shortest distance between the above-mentioned compliant radars to be verified and the IRS wireless sensing platform specifically refers to the minimum physical distance that can be reached between the compliant radars to be verified and the IRS wireless sensing platform under the premise of effective communication and perception, which can be obtained through the laser rangefinder built into the IRS wireless sensing platform; The electromagnetic interference intensity of the area to which the above-mentioned compliant radars to be verified belong at each angle evaluation moment during the angle evaluation period specifically refers to the power of the electromagnetic interference received by the area to which the compliant radars to be verified belong at each angle evaluation moment during the angle evaluation period, which can be obtained through the electromagnetic field strength measuring instrument deployed in the area to which the radar belongs; The above-mentioned noise signal power specifically refers to the power value of the noise signal received by the area to which the compliant radars to be verified belong at each angle evaluation moment during the angle evaluation period, which can be obtained through the noise measurement receiver deployed in the area to which the radar belongs.

[0063] The electromagnetic interference intensity and noise signal power of the area to which each compliant radar to be verified belongs at each angle evaluation moment during the angle evaluation period are arranged in order from large to small, thereby extracting the electromagnetic interference intensity ranked first as the maximum electromagnetic interference intensity of the area to which each compliant radar to be verified belongs during the angle evaluation period, and extracting the noise signal power ranked first as the maximum noise signal power of the area to which each compliant radar to be verified belongs during the angle evaluation period.

[0064] Furthermore, the specific analysis process of each of the radar angle evaluation values ​​to be verified is as follows: The angle evaluation value of each compliant radar to be verified is obtained through comprehensive analysis of the signal-to-noise ratio of each compliant radar to be verified during the angle evaluation period, the signal strength of each compliant radar to be verified during the angle evaluation period, the maximum electromagnetic interference intensity of the area to which each compliant radar to be verified belongs during the angle evaluation period, the maximum power of the noise signal in the area to which each compliant radar to be verified belongs during the angle evaluation period, the shortest distance between each compliant radar to be verified and the IRS wireless sensing platform, and the radar angle anomaly index of each compliant radar to be verified. The specific acquisition method is as follows:

[0065] In the formula, represents the Qth radar angle evaluation value to be verified. represents the signal-to-noise ratio of the Qth compliant radar to be verified during the angle evaluation period, represents the shortest distance between the Qth compliant radar to be verified and the IRS wireless sensing platform, represents the signal strength of the Qth radar to be verified during the angle evaluation period, It indicates the maximum electromagnetic interference intensity of the area where the Qth radar to be verified for compliance belongs during the angle evaluation period. It represents the maximum power of the noise signal in the area where the Qth radar to be verified for compliance belongs during the angle evaluation period. It represents the radar angle anomaly index of the Qth compliant radar to be verified. The distance between the radar and the IRS wireless sensing platform will affect the propagation and reception of the radar signal. A closer distance will increase the electromagnetic interference intensity. The increase in the maximum electromagnetic interference intensity will increase the noise level of the radar system, resulting in an increase in the maximum power of the noise signal. At the same time, electromagnetic interference will also reduce the signal strength, thereby reducing the signal-to-noise ratio, resulting in a decrease in the angle evaluation value of the compliant radar to be verified. When the radar angle anomaly index is large, it means that the performance of the radar angle estimation is lower, the maximum electromagnetic interference intensity and the maximum noise signal power are larger, resulting in a lower angle evaluation value of the compliant radar to be verified.

[0066] The radar angle anomaly index of each compliant radar to be verified specifically refers to the index obtained by comprehensively analyzing the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, the Doppler frequency of each radar during the radar monitoring period, and the environmental anomaly index of the area to which the radar belongs during the radar angle anomaly evaluation process of each compliant radar to be verified.

[0067] Indicates the angle evaluation impact factor of the shortest distance preset by the wireless sensing library, Indicates the angle evaluation influencing factor of the signal strength preset by the wireless sensing library, Indicates the angle assessment impact factor of the maximum electromagnetic interference intensity preset by the wireless sensing library, Indicates the angle evaluation impact factor of the maximum power of the noise signal preset by the wireless sensing library, Represents the angle assessment influencing factor of the radar angle anomaly indicator preset by the wireless sensing library.

[0068] It should be explained that the angle evaluation influencing factors corresponding to the shortest distance, signal strength, maximum electromagnetic interference intensity, maximum noise signal power and radar angle anomaly index are respectively used to adjust the importance of the shortest distance, signal strength, maximum electromagnetic interference intensity, maximum noise signal power and radar angle anomaly index in the process of analyzing and obtaining the radar angle evaluation value. For example, there is a pre-set mapping relationship between the real-time compliant radar feature data to be verified and the corresponding angle evaluation influencing factors in the wireless sensing library. The real-time angle evaluation influencing factors corresponding to the compliant radar feature data to be verified can be matched through the pre-set mapping relationship. The shortest distance, signal strength, maximum electromagnetic interference intensity, maximum noise signal power and radar angle anomaly index are respectively matched with the pre-set mapping relationship to obtain the angle evaluation influencing factor corresponding to the shortest distance, the angle evaluation influencing factor corresponding to the signal strength, the angle evaluation influencing factor corresponding to the maximum electromagnetic interference intensity, the angle evaluation influencing factor corresponding to the maximum noise signal power and the angle evaluation influencing factor corresponding to the radar angle anomaly index. In this embodiment, the value range is (0, 1).

[0069] Q is the number of each compliance radar to be verified, P, P is the total number of compliant radars to be verified.

[0070] Indicates the minimum signal-to-noise ratio preset by the wireless sensing library.

[0071] Specifically, the screening out of the compliant radars is carried out in the following specific process: The angle evaluation value of each compliant radar to be verified is compared with the compliant radar angle evaluation threshold preset in the wireless sensing library. If the angle evaluation value of a compliant radar to be verified is greater than or equal to the compliant radar angle evaluation threshold, it means that the compliant radar to be verified is compliant, and the compliant radar to be verified is recorded as a compliant radar. In this way, several compliant radars to be verified whose compliant radar angle evaluation values ​​are greater than or equal to the compliant radar angle evaluation threshold are screened out and recorded as compliant radars.

[0072] It should be explained that the above-mentioned compliant radar angle evaluation threshold represents the critical value used to determine whether the angle evaluation value of a compliant radar to be verified reaches the compliance standard when conducting compliant radar angle evaluation. It is used to quantify the radar angle status of each compliant radar to be verified, and help the IRS wireless sensing platform determine whether to record the compliant radar to be verified as a compliant radar. Finally, the IRS wireless sensing platform sends radio signals to the screened compliant radars to transmit angle, position, and speed information to avoid being obtained by other non-compliant radars, thereby completing safe wireless sensing.

[0073] The wireless sensing library is used to store the objective function threshold, the radar angle anomaly threshold, the compliance radar angle evaluation threshold, the environmental anomaly weight factor of the maximum intensity of electromagnetic interference, the environmental anomaly weight factor of the proportion of the area of ​​physical obstacles, the environmental anomaly weight factor of the water vapor content, the environmental anomaly weight factor of the maximum power of the noise signal, the environmental anomaly weight factor of the maximum wind speed, the angle anomaly impact weight of the beam width, the angle anomaly impact weight of the antenna spacing, the angle anomaly impact weight of the channel coherence interval, the angle anomaly impact weight of the Doppler frequency, the angle anomaly impact weight of the environmental anomaly index, the angle evaluation impact factor of the shortest distance, the angle evaluation impact factor of the signal strength, the angle evaluation impact factor of the maximum intensity of electromagnetic interference, the angle evaluation impact factor of the maximum power of the noise signal, and the angle evaluation impact factor of the radar angle anomaly index.

[0074] Reference Figure 2 As shown, the second aspect of the present invention provides a secure wireless sensing method based on IRS assistance, including: S1. The IRS wireless sensing platform obtains environmental feature data of the area to which the radar belongs, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs, and at the same time obtains the angle information of each radar in the area to which the radar belongs, and combines the environmental anomaly index of the area to which the radar belongs, and comprehensively analyzes to obtain the radar angle anomaly index of each radar, and obtains each compliant radar to be verified through a preset screening mechanism, obtains and performs difference processing on the radar angle anomaly index of each compliant radar to be verified and the radar angle anomaly threshold preset in the wireless sensing library to obtain the radar angle anomaly deviation value of each compliant radar to be verified, and performs mean processing to obtain the mean of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient, and finally performing security regulation on each compliant radar to be verified by adapting the IRS reflection coefficient.

[0075] S2. Obtain the characteristic data of each compliant radar to be verified after security control, and thereby obtain the angle evaluation value of each compliant radar to be verified by comprehensively analyzing the radar angle anomaly indicators of each compliant radar to be verified, and compare the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar and finally completing secure wireless perception.

[0076] A third aspect of the present invention provides a computer-readable storage medium for storing a program, wherein the program, when executed by a processor, implements an IRS-assisted secure wireless sensing system.

[0077] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A secure wireless sensing system based on IRS assistance, characterized in that: include: The screening module of the radars to be verified is used for the IRS wireless sensing platform to obtain the environmental characteristic data of the area to which the radar belongs, thereby analyzing and obtaining the environmental anomaly index of the area to which the radar belongs, and at the same time obtaining the angle information of each radar in the area to which the radar belongs, and combining the environmental anomaly index of the area to which the radar belongs, comprehensively analyzing and obtaining the radar angle anomaly index of each radar, and obtaining each compliant radar to be verified through a preset screening mechanism, obtaining and performing difference processing on the radar angle anomaly index of each compliant radar to be verified and the radar angle anomaly threshold preset in the wireless sensing library, obtaining the radar angle anomaly deviation value of each compliant radar to be verified, and performing mean processing to obtain the mean value of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient, and finally performing safety regulation on each compliant radar to be verified by adapting the IRS reflection coefficient; The compliance radar screening module is used to obtain the characteristic data of each compliance radar to be verified after security control, thereby comprehensively analyzing the radar angle abnormality indicators of each compliance radar to be verified to obtain the angle evaluation value of each compliance radar to be verified, and comparing the angle evaluation value of each compliance radar to be verified with the compliance radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliance radar and finally completing secure wireless perception; The environmental anomaly index of the area to which the radar belongs is specifically analyzed as follows: The environmental anomaly index of the radar area is obtained by comprehensive analysis of the maximum intensity of electromagnetic interference in the radar area during the radar monitoring period, the proportion of physical obstacles in the radar area during the radar monitoring period, the water vapor content in the radar area during the radar monitoring period, the maximum power of noise signals in the radar area during the radar monitoring period, and the maximum wind speed in the radar area during the radar monitoring period. The specific analysis process of the radar angle anomaly index of each radar is as follows: The radar angle anomaly index of each radar is obtained through comprehensive analysis of the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, the Doppler frequency of each radar during the radar monitoring period, and the environmental anomaly index of the area to which the radar belongs.

2. The IRS-assisted secure wireless sensing system according to claim 1, characterized in that: The environmental anomaly index of the area to which the radar belongs also includes: The environmental characteristic data of the area to which the radar belongs specifically include the maximum intensity of electromagnetic interference in the area to which the radar belongs during the radar monitoring period, the area of ​​physical obstacles in the area to which the radar belongs during the radar monitoring period, the area of ​​the area to which the radar belongs, the water vapor content in the area to which the radar belongs during the radar monitoring period, the maximum power of the noise signal in the area to which the radar belongs during the radar monitoring period, and the maximum wind speed in the area to which the radar belongs during the radar monitoring period; The ratio of the physical obstacle area of ​​the radar area during the radar monitoring period to the area of ​​the radar area is processed, and the proportion of the physical obstacle area of ​​the radar area during the radar monitoring period is obtained.

3. The IRS-assisted secure wireless sensing system according to claim 1, characterized in that: The radar angle anomaly index of each radar also includes: The angular information of each radar in the area to which the radar belongs specifically includes the beam width of each radar during the radar monitoring period, the antenna spacing of each radar during the radar monitoring period, the channel coherence interval of each radar during the radar monitoring period, and the Doppler frequency of each radar during the radar monitoring period.

4. The IRS-assisted secure wireless sensing system according to claim 1, characterized in that: The preset screening mechanism is used to obtain the compliance radars to be verified. The specific screening process is as follows: The preset screening mechanism is to compare the radar angle anomaly index of each radar with the radar angle anomaly threshold preset in the wireless sensing library. If the radar angle anomaly index of a radar is smaller than the radar angle anomaly threshold, the radar is recorded as a compliant radar to be verified. Thus, a number of radars corresponding to radar angle anomaly indexes smaller than the radar angle anomaly threshold are counted and marked as compliant radars to be verified.

5. The IRS-assisted secure wireless sensing system according to claim 1, characterized in that: The specific control process of safely regulating each compliant radar to be verified by adapting the IRS reflection coefficient is as follows: According to the average value of the abnormal angle deviation of the compliant radar to be verified, the initial IRS reflection coefficient preset in the wireless sensing library is matched. The IRS wireless sensing platform optimizes the initial IRS reflection coefficient through the built-in optimization algorithm, and finally obtains the adapted IRS reflection coefficient. The adapted IRS reflection coefficient is then used to safely regulate each compliant radar to be verified.

6. The IRS-assisted secure wireless sensing system according to claim 1, characterized in that: The characteristic data of each compliant radar to be verified specifically include the signal-to-noise ratio of each compliant radar to be verified in the angle evaluation period, the signal strength of each compliant radar to be verified in the angle evaluation period, the shortest distance between each compliant radar to be verified and the IRS wireless sensing platform, and the electromagnetic interference intensity and noise signal power of the area to which each compliant radar to be verified belongs at each angle evaluation time in the angle evaluation period; The electromagnetic interference intensity and noise signal power of the area to which each compliant radar to be verified belongs at each angle evaluation moment during the angle evaluation period are arranged in order from large to small, thereby extracting the electromagnetic interference intensity ranked first as the maximum electromagnetic interference intensity of the area to which each compliant radar to be verified belongs during the angle evaluation period, and extracting the noise signal power ranked first as the maximum noise signal power of the area to which each compliant radar to be verified belongs during the angle evaluation period.

7. The IRS-assisted secure wireless sensing system according to claim 6, characterized in that: The specific analysis process of each of the compliance radar angle evaluation values ​​to be verified is as follows: The angle evaluation value of each compliant radar to be verified is obtained through comprehensive analysis of the signal-to-noise ratio of each compliant radar to be verified during the angle evaluation period, the signal strength of each compliant radar to be verified during the angle evaluation period, the maximum electromagnetic interference intensity of the area to which each compliant radar to be verified belongs during the angle evaluation period, the maximum power of the noise signal in the area to which each compliant radar to be verified belongs during the angle evaluation period, the shortest distance between each compliant radar to be verified and the IRS wireless sensing platform, and the radar angle anomaly index of each compliant radar to be verified. The specific acquisition method is as follows: ； In the formula, represents the Qth radar angle evaluation value to be verified. represents the signal-to-noise ratio of the Qth compliant radar to be verified during the angle evaluation period, represents the shortest distance between the Qth compliant radar to be verified and the IRS wireless sensing platform, represents the signal strength of the Qth radar to be verified during the angle evaluation period, It indicates the maximum electromagnetic interference intensity of the area where the Qth radar to be verified for compliance belongs during the angle evaluation period. It represents the maximum power of the noise signal in the area where the Qth radar to be verified for compliance belongs during the angle evaluation period. Indicates the radar angle anomaly index of the Qth compliant radar to be verified, Indicates the angle evaluation impact factor of the shortest distance preset by the wireless sensing library, Indicates the angle evaluation influencing factor of the signal strength preset by the wireless sensing library, Indicates the angle assessment impact factor of the maximum electromagnetic interference intensity preset by the wireless sensing library, Indicates the angle evaluation impact factor of the maximum power of the noise signal preset by the wireless sensing library, It represents the angle evaluation influencing factor of the radar angle anomaly index preset by the wireless sensing library. Q is the number of each compliant radar to be verified. P, P is the total number of compliant radars to be verified, Indicates the minimum signal-to-noise ratio preset by the wireless sensing library.

8. The IRS-assisted secure wireless sensing system according to claim 1, characterized in that: The specific screening process of screening out the compliant radars is as follows: The angle evaluation value of each compliant radar to be verified is compared with the compliant radar angle evaluation threshold preset in the wireless sensing library. If the angle evaluation value of a compliant radar to be verified is greater than or equal to the compliant radar angle evaluation threshold, the compliant radar to be verified is recorded as a compliant radar. In this way, several compliant radars to be verified whose compliant radar angle evaluation values ​​are greater than or equal to the compliant radar angle evaluation threshold are screened out and recorded as compliant radars.

9. A method for the IRS-assisted secure wireless sensing system according to any one of claims 1 to 8, characterized in that: include: S1. The IRS wireless sensing platform obtains the environmental characteristic data of the area to which the radar belongs, and thereby analyzes and obtains the environmental anomaly index of the area to which the radar belongs. At the same time, the angle information of each radar in the area to which the radar belongs is obtained, and combined with the environmental anomaly index of the area to which the radar belongs, the radar angle anomaly index of each radar is obtained through comprehensive analysis, and each compliant radar to be verified is obtained through a preset screening mechanism, and the radar angle anomaly index of each compliant radar to be verified is obtained and the radar angle anomaly index of each compliant radar to be verified is processed with the radar angle anomaly threshold preset in the wireless sensing library to obtain the radar angle anomaly deviation value of each compliant radar to be verified, and the average value is processed to obtain the average value of the angle anomaly deviation of the compliant radar to be verified, thereby matching the adapted IRS reflection coefficient, and finally performing safety regulation on each compliant radar to be verified by adapting the IRS reflection coefficient; S2. Obtain the characteristic data of each compliant radar to be verified after security control, and thereby obtain the angle evaluation value of each compliant radar to be verified by comprehensively analyzing the radar angle anomaly indicators of each compliant radar to be verified, and compare the angle evaluation value of each compliant radar to be verified with the compliant radar angle evaluation threshold preset in the wireless perception library, thereby screening out each compliant radar and finally completing secure wireless perception.

10. A computer-readable storage medium for storing a program, characterized in that: When the program is executed by a processor, the IRS-assisted secure wireless sensing system according to any one of claims 1 to 8 is implemented.

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