An artificial intelligence-based wireless communication intelligent anti-interference method and system

Abstract

The application relates to the field of wireless communication, in particular to a wireless communication intelligent anti-interference method and system based on artificial intelligence, which comprises the following steps: collecting a sending signal value sequence of any radio transmitting equipment, collecting a receiving signal value sequence with a label of any radio transmitting equipment; obtaining an interference process, calculating an interference weight of an interference equipment on a target equipment according to the sending signal value sequence and the receiving signal value sequence, so as to calculate a transmitting power adjustment coefficient of the target equipment in a detection process; taking the product of the transmitting power adjustment coefficient and a preset transmitting power value of the target equipment as a transmitting power correction value of the target equipment, returning the transmitting power correction value to the target equipment for real-time transmitting power adjustment of a radio frequency signal, and completing communication anti-interference. Through the technical scheme, the precision of a wireless communication anti-interference result can be improved.

Description

Technical Field

[0001] This invention relates to the field of wireless communication. In particular, it relates to an intelligent anti-interference method and system for wireless communication based on artificial intelligence. Background Technology

[0002] In modern wireless communication, the network environment is becoming increasingly complex due to the continuous increase in the number of devices and the rapid evolution of communication technologies. Especially in urban environments, the coexistence of numerous wireless devices leads to frequent signal congestion and interference. This interference not only degrades communication quality but also affects user experience, making reliable data transmission a pressing issue. To address these challenges, communication systems need to possess greater intelligence, capable of self-adapting and adjusting in real time to adapt to changing environments.

[0003] Existing technologies adjust power by monitoring the signal-to-noise ratio of radio frequency signals in real time or interference in one direction, neglecting the mutual interference caused by power differences between different transmitting devices during wireless signal propagation. Therefore, when a radio transmitting device increases its power excessively, it may cause strong interference to other radio devices, leading to signal distortion; conversely, if the power is too low, its own signal will be insufficient to resist external interference, also resulting in a decline in signal quality. Summary of the Invention

[0004] To address the aforementioned technical problems, the present invention provides solutions in the following aspects.

[0005] In a first aspect, the present invention provides an intelligent anti-interference method for wireless communication based on artificial intelligence, comprising: collecting the transmitted signal value sequence of any radio transmitting device based on a wireless communication system, and collecting the received signal value sequence tagged with any radio transmitting device based on a radio transceiver base station; taking any radio transmitting device as the target device, acquiring the interference process, taking any radio transmitting device other than the target device as the interfering device in any interference process, calculating the interference weight of the interfering device on the target device based on the transmitted signal value sequence and the received signal value sequence, so as to calculate the transmission power adjustment coefficient of the target device in the process to be detected; taking the product of the transmission power adjustment coefficient and the preset transmission power value of the target device as the transmission power correction value of the target device, and returning the transmission power correction value to the target device for real-time radio frequency signal transmission power adjustment, thereby completing the communication anti-interference.

[0006] Preferably, the interference acquisition process includes: using any radio transmitting device other than the target device as a reference device, and using any historical wireless communication process in which the target device and the reference device simultaneously conduct wireless communication as an interference process.

[0007] Preferably, the step of calculating the interference weight of the interfering device on the target device based on the transmitted signal value sequence and the received signal value sequence includes: for any interference process, taking the sequence formed by the difference between corresponding elements of the transmitted signal value sequence and the received signal value sequence of the target device as the interference noise sequence of the target device, and calculating the energy value of the interference noise sequence of the target device; calculating the time-domain interference degree and frequency-domain interference degree of the interfering device on the target device, traversing to obtain the time-domain interference degree and frequency-domain interference degree of any radio transmitting device other than the target device on the target device, and calculating the first mean of all time-domain interference degrees and the first mean of all frequency-domain interference degrees. The second mean is calculated; the first ratio of the time-domain interference level of the interfering device to the target device to the first mean is calculated; the second ratio of the frequency-domain interference level of the interfering device to the target device to the second mean is calculated; the sum of the first and second ratios is calculated; and the first product of the sum and the energy value of the interference noise sequence of the target device is calculated; the first product of each interference process is obtained by iterating through the interference process; the straight-line distance between the interfering device and the target device is obtained; the maximum straight-line distance within the coverage area of ​​the radio transceiver base station is obtained; the third ratio of the maximum straight-line distance to the straight-line distance is calculated; and the product of the third ratio and the first product is used as the interference weight of the interfering device to the target device.

[0008] Preferably, the time-domain interference level includes: for any interference process, similarly obtaining the interference noise sequence of the interference device, and taking the negative exponential value of the DTW distance between the interference noise sequence of the target device and the interference noise sequence of the interference device as the time-domain interference level.

[0009] Preferably, the frequency domain interference level includes: for any interference process, performing a Fourier transform on the interference noise sequence of the target device to obtain a spectrum diagram and an amplitude sequence composed of frequency amplitudes, and similarly obtaining the amplitude sequence of the interfering device, and using the negative exponential value of the Manhattan distance between the amplitude sequence of the target device and the amplitude sequence of the interfering device as the frequency domain interference level.

[0010] Preferably, the calculation of the target device's transmit power adjustment coefficient during the detection process includes: acquiring the sequence of received signal values ​​tagged with the target device collected by the radio transceiver base station during the detection process; taking any radio transmitting device other than the target device as the interference device to be detected during the detection process; acquiring the normalized interference weight of the interference device to the target device as the detection weight; using the negative exponent of the DTW distance between the received signal value sequence of the target device and the received signal value sequence of the interference device as the first value; using the negative exponent of the DTW distance between the received signal value sequence of the target device and the received signal value sequence of the interference device as the second value; and iterating through the received signal value sequences of the target device and each interference device to obtain the received signal value sequence of the interference device during any interference process. The second value of the interference device to be detected in each interference process is calculated, and the third mean of all second values ​​is calculated; the fourth ratio of the first value to the third mean is calculated; the negative exponent of the DTW distance between the received signal value sequence of the interference device to be detected and the received signal value sequence of the target device in any interference process is calculated as the third value; the third values ​​of the interference device to be detected and the target device in each interference process are obtained through iteration, and the fourth mean of all third values ​​is calculated; the fifth ratio of the fourth mean to the first value is calculated; the fifth mean of the fourth ratio and the fifth ratio is calculated, and the second product of the fifth mean and the weight to be detected is calculated; the second product of each radio transmitting device except the target device in the process of detection is obtained through iteration, and the cumulative value of all second products is used as the transmit power adjustment coefficient of the target device in the process of detection.

[0011] Preferably, the calculation of the target device's transmit power adjustment coefficient during the detection process further includes: taking the interference process involving the target device as a study process; for any study process, obtaining the energy value of the target device, and obtaining the cumulative energy value of the target device in all study processes, calculating the sixth ratio of the target device's energy value to the cumulative energy value in any study process; taking the negative exponent of the DTW distance between the received signal value sequence of the target device and the received signal value sequence of the target device in any study process as the fourth value; calculating the third product of the sixth ratio and the fourth value, iterating through all study processes to obtain the third product, and calculating the cumulative value of the third product; calculating the seventh ratio of the first value and the cumulative value of the third product, and calculating the fourth product of the seventh ratio and the weight to be detected, iterating through each radio transmitting device other than the target device in the detection process to obtain the fourth product, and using the cumulative value of all fourth products as the transmit power adjustment coefficient of the target device in the detection process.

[0012] Secondly, the present invention also provides an artificial intelligence-based intelligent anti-interference system for wireless communication, comprising: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned artificial intelligence-based intelligent anti-interference method for wireless communication is implemented.

[0013] The present invention has the following effects:

[0014] This invention addresses the limitations of existing technologies that rely solely on real-time RF signal-to-noise ratio or unidirectional interference for power adjustment. It proposes an intelligent anti-interference method based on dual-dimensional time-frequency analysis and historical communication pattern mining. The innovation lies in introducing a comprehensive interference assessment framework that considers not only signal strength but also incorporates multi-dimensional analysis of time-domain waveform similarity and frequency-domain distribution characteristics. Furthermore, it quantifies the dynamic power change patterns during historical communication, effectively capturing non-stationary interference characteristics.

[0015] This invention implements a two-way interference analysis mechanism, which not only assesses the interference impact on the target device, but also measures its interference contribution to other devices. By normalizing the process, it eliminates individual differences between different devices and minimizes global interference.

[0016] This method, which combines time-frequency dual-dimensional and bidirectional interference assessment, is significantly superior to the traditional single-dimensional adjustment strategy. It can dynamically balance the contradiction between excessive power causing excessive interference to other devices and insufficient power resulting in insufficient anti-interference capability. This not only improves the reliability of communication links and the accuracy of anti-interference results for wireless communication, but also optimizes the overall spectrum efficiency of the system and reduces unnecessary energy consumption. Attached Figure Description

[0017] Figure 1 This is a flowchart of an intelligent anti-interference method for wireless communication based on artificial intelligence, according to an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0019] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0020] Reference Figure 1 A wireless communication intelligent anti-interference method based on artificial intelligence includes steps S1-S3, as detailed below:

[0021] S1: Collect the transmitted signal value sequence of any radio transmitting device based on the wireless communication system, and collect the received signal value sequence with the tag of any radio transmitting device based on the radio transceiver base station.

[0022] In one embodiment, a sequence of transmitted signal values ​​is collected from any selected radio transmitting device using a built-in sensor; simultaneously, a sequence of received signal values ​​with a tag for any radio transmitting device is collected at the receiving end based on a radio transceiver base station. The tag for any radio transmitting device is used to distinguish the radio transmitting device corresponding to the received signal value sequence at the radio transceiver base station.

[0023] S2: Take any radio transmitting device as the target device, acquire the interference process, take any radio transmitting device other than the target device as the interference device in any interference process, calculate the interference weight of the interference device on the target device based on the transmitted signal value sequence and the received signal value sequence, and calculate the transmission power adjustment coefficient of the target device in the process to be detected.

[0024] In one embodiment, any radio transmitting device is selected as the target device. The selected target device remains unchanged in this invention. It should be explained that any radio transmitting device can be used as the target device. Any radio transmitting device other than the target device is used as the reference device, and any historical wireless communication process in which the target device and the reference device simultaneously conduct wireless communication is used as an interference process.

[0025] The number of interference processes is at least one. Any interference process is selected, and any radio transmitting device other than the target device within that process is considered an interference device. It should be noted that the reference device is also an interference device. For example, there are a total of... Five radio transmitting devices, radio transmitting devices As the target device, radio transmitting equipment When used as a reference device, the historical wireless communication process in which the target device and the reference device simultaneously conduct wireless communication includes the first historical wireless communication process. Second historical wireless communication process and the third historical wireless communication process The numbers in parentheses represent the identifiers of the radio transmitting devices that simultaneously conducted wireless communication during any given historical wireless communication process. For the first historical wireless communication process, the interfering device is... Similarly, it is possible to obtain the interference device for any historical wireless communication process.

[0026] The interference weight of the jamming device on the target device is calculated based on the transmitted signal value sequence and the received signal value sequence, including:

[0027] When analyzing any interference process, for the target device, the interference noise sequence of the target device is generated by performing a difference operation on the corresponding elements of the transmitted signal value sequence and the received signal value sequence at the same time point or sampling point (usually defined as the received signal value minus the transmitted signal value, to characterize the actual reception deviation). This sequence comprehensively reflects the signal distortion caused by factors such as external interference, environmental noise, and channel distortion. Subsequently, the energy value of this interference noise sequence (i.e., the sum of the squares of each element in the sequence, often used to quantify the interference intensity) is calculated as a key indicator for evaluating the interference impact. Since the method for calculating the energy value is a standard technique known to those skilled in the art in the field of signal processing (e.g., implemented through the energy formula of discrete signals), its specific implementation details will not be elaborated here.

[0028] The time-domain and frequency-domain interference levels of the jamming device on the target device are calculated. The time-domain interference level is calculated as follows: for any jamming process, the jamming noise sequence of the jamming device is obtained, and the negative exponential value of the DTW (Dynamic Time Warping) distance between the jamming noise sequence of the target device and the jamming noise sequence of the jamming device is used as the time-domain interference level. The frequency-domain interference level is calculated as follows: for any jamming process, a Fourier transform is performed on the jamming noise sequence of the target device to obtain a spectrum and an amplitude sequence composed of frequency amplitudes. Similarly, the amplitude sequence of the jamming device is obtained, and the negative exponential value of the Manhattan distance between the amplitude sequence of the target device and the amplitude sequence of the jamming device is used as the frequency-domain interference level. For example, the negative exponential value is obtained through negative correlation mapping of an exponential function.

[0029] Iterate through the time-domain and frequency-domain interference levels of any radio transmitting device other than the target device to obtain the interference level in the target device, and calculate the first mean of all time-domain interference levels and the second mean of all frequency-domain interference levels.

[0030] Calculate the first ratio of the temporal interference level of the jamming device to the target device to the first mean; calculate the second ratio of the frequency domain interference level of the jamming device to the target device to the second mean; calculate the sum of the first and second ratios; and calculate the first product of the sum and the energy value of the interference noise sequence of the target device. Iterate through each interference process to obtain the first product; obtain the straight-line distance between the jamming device and the target device; obtain the maximum straight-line distance within the coverage area of ​​the radio transceiver base station; calculate the third ratio of the maximum straight-line distance to the straight-line distance; and use the product of the third ratio and the first product as the interference weight of the jamming device on the target device.

[0031] It needs to be explained that the logic for constructing the interference weight is as follows: In wireless interference analysis, the third ratio is used to quantify the distance attenuation effect, that is, as the distance between the interfering device and the target device increases, the signal propagation loss increases, resulting in a significant reduction in the degree of interference to the target device; at the same time, the energy value of the interference noise sequence provides a relative measure of the interference intensity in different historical interference processes. The larger the value, the higher the intensity of mutual interference, and the more the corresponding historical wireless communication process should be given priority and analyzed in depth.

[0032] Considering the inherent differences in transmit power, antenna gain, modulation scheme, and channel environment among the radio transmitting devices involved in each historical wireless communication process, directly comparing the original interference intensity would lead to evaluation bias. Therefore, a first ratio is introduced to normalize the interference level, eliminating the impact of individual device differences in different communication processes and enabling a horizontal comparison of interference effects across historical communication processes. Similarly, the second ratio performs the same logic in the frequency domain dimension. By calculating the ratio of the frequency domain interference level of a specific interfering device to the second mean, the comprehensiveness and accuracy of interference assessment are further enhanced, providing balanced and comparable time-frequency dual-dimensional input parameters for the final interference weight calculation.

[0033] Thus, based on all historical wireless communication processes, the interference weight of any interfering device on the target device can be obtained.

[0034] The sequence of received signal values ​​with the target device tag collected by the radio transceiver base station during the detection process is obtained. Any radio transmitting device other than the target device during the detection process is taken as the interference device to be detected. The normalized interference weight of the interference device to the target device is obtained as the detection weight.

[0035] The negative exponent of the DTW distance between the target device's received signal value sequence and the interference device's received signal value sequence during the detection process is taken as the first value; the first values ​​of the target device and the interference device during each interference process are obtained through iteration, and the third mean of all the first values ​​is calculated; the fourth ratio of the first value to the third mean is calculated.

[0036] The negative exponent of the DTW distance between the received signal value sequence of the interference device to be detected and the received signal value sequence of the target device in any interference process is calculated as the second value. The second values ​​of the interference device to be detected and the target device in each interference process are obtained through iteration, and the fourth mean of all the second values ​​is calculated. The fifth ratio of the fourth mean to the first value is calculated.

[0037] Calculate the fifth mean of the fourth ratio and the fifth ratio, and calculate the second product of the fifth mean and the weight to be detected. Iterate through each radio transmitting device except the target device to obtain the second product during the detection process, and use the sum of all the second products as the transmission power adjustment coefficient of the target device during the detection process.

[0038] It should be explained that, for example, during the testing process, the radio transmitting equipment is still... As the target device, first, the radio transmitting equipment As the interference device to be detected, it also includes a radio transmitting device. and radio transmitting equipment The interference process includes the first interference process. Second interference process and the third interference process The radio transmitting equipment involved in the testing process is labeled as follows: To differentiate them, process labels are added to the equipment labels. This refers to the radio transmitting equipment during the first interference process. (Target equipment) ), Indicates the radio transmitting equipment under test. (Target equipment) ).

[0039] calculate The sequence of received signal values ​​to be detected and The first value of the sequence of received signal values ​​to be detected.

[0040] calculate The sequence of received signal values ​​to be detected and The second value of the received signal value sequence is obtained by iterating through it. and The second value and and The second value. The average of the three second values ​​is taken as the third mean.

[0041] calculate The sequence of received signal values ​​to be detected and The third value of the received signal value sequence is obtained similarly. and The third value and The third value, and the average of these three third values ​​is the fourth mean. Calculation of radio transmitting equipment. As the second product when it is used as the interference device to be detected.

[0042] At the same time, radio transmitting equipment When used as a device to be detected for interference, first obtain information that simultaneously includes a radio transmitting device. and radio transmitting equipment The interference process, exemplarily, includes a second interference process. Fourth interference process The radio transmitting equipment involved in the detection process remains unchanged. ,calculate The sequence of received signal values ​​to be detected and The first value of the sequence of received signal values ​​to be detected.

[0043] calculate The sequence of received signal values ​​to be detected and The second value of the received signal value sequence, and calculate and The second value. The average of the two second values ​​is taken as the third mean.

[0044] calculate The sequence of received signal values ​​to be detected and The third value of the received signal value sequence is obtained similarly. and The third value, the average of these two third values, is the value of the radio transmitting equipment. The fourth mean value when used as the interference device to be detected. Calculation of radio transmitting equipment. As the second product when it is used as the interference device to be detected.

[0045] The second product is obtained by iterating through each radio transmitting device (excluding the target device) during the detection process when it is used as the interference device to be detected. The sum of all the second products is used as the transmission power adjustment coefficient of the target device during the detection process.

[0046] The fourth ratio accurately captures the changing trend of the current interference situation relative to historical experience by comparing the negative exponent of the DTW distance between the target device and the interfering device during the current wireless communication process with the average value of the interference process. When the ratio is less than 1, it indicates that the current interference is weakening, and the system can intelligently reduce the transmission power to reduce unnecessary interference to nearby devices and save energy. Conversely, when the ratio is greater than 1, it means that the interference is aggravated, and the power needs to be increased to enhance the anti-interference capability of its own signal. In addition, the fifth ratio evaluates the changes in the interference impact of other active devices on the target device during the detection process from the reverse dimension. Through this two-way interference situation awareness mechanism, a comprehensive balance of interference impact is achieved: it avoids the common problems of over-adjustment (leading to increased overall network interference) or under-adjustment (leading to a decrease in its own communication quality) in traditional one-way adjustment, and achieves an optimized balance between minimizing global interference and maximizing individual communication quality in a multi-device coexistence environment.

[0047] In another embodiment, calculating the transmission power adjustment coefficient of the target device during the detection process further includes: taking the interference process involving the interference device to be detected as the research process; for any research process, obtaining the energy value of the target device, obtaining the cumulative energy value of the target device in all research processes, and calculating the sixth ratio of the energy value of the target device to the cumulative energy value in any research process.

[0048] The negative exponent of the DTW distance between the received signal value sequence of the target device and the received signal value sequence of the interference device to be detected in any research process is taken as the fourth value; the third product of the sixth ratio and the fourth value is calculated, and the third product of all research processes is obtained through iteration, and the cumulative value of the third product is calculated; the seventh ratio of the first value and the cumulative value of the third product is calculated, and the fourth product of the seventh ratio and the weight to be detected is calculated, and the fourth product of each radio transmitting device except the target device in the process to be detected is obtained through iteration, and the cumulative value of all fourth products is taken as the transmission power adjustment coefficient of the target device in the process to be detected.

[0049] S3: The product of the transmit power adjustment coefficient and the preset transmit power value of the target device is used as the transmit power correction value of the target device. The transmit power correction value is returned to the target device to adjust the transmit power of the radio frequency signal in real time, thus completing the communication anti-interference.

[0050] In one embodiment, after completing the interference weight calculation and bidirectional interference analysis, the system multiplies the adaptively generated transmit power adjustment coefficient (exemplarily between 0.5 and 2.0) with the preset baseline transmit power value of the target device to obtain the transmit power correction value. The transmit power correction value is fed back to the power amplifier control unit of the target radio transmitter in real time through control signaling, dynamically adjusting the transmit power level of its radio frequency signal. When the adjustment coefficient is greater than 1, the transmit power is increased to improve its anti-interference capability. When the adjustment coefficient is less than 1, the transmit power is reduced to reduce the interference impact on neighboring devices, thus completing the communication anti-interference.

[0051] The system includes a processor and a memory, the memory storing computer program instructions, which, when executed by the processor, implement an artificial intelligence-based intelligent anti-interference method for wireless communication according to the first aspect of the present invention.

[0052] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0053] It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept, and these all fall within the scope of protection of this invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A wireless communication intelligent anti-interference method based on artificial intelligence, characterized in that, include: The system collects the transmitted signal value sequence of any radio transmitting device based on the wireless communication system, and collects the received signal value sequence with the tag of any radio transmitting device based on the radio transceiver base station. Take any radio transmitting device as the target device, acquire the interference process, take any radio transmitting device other than the target device in any interference process as the interference device, calculate the interference weight of the interference device on the target device based on the transmitted signal value sequence and the received signal value sequence, and calculate the transmission power adjustment coefficient of the target device in the process to be detected. The calculation of the interference weight of the interfering device on the target device based on the transmitted signal value sequence and the received signal value sequence includes: For any interference process, the sequence formed by the difference between corresponding elements of the transmitted signal value sequence and the received signal value sequence of the target device is taken as the interference noise sequence of the target device, and the energy value of the interference noise sequence of the target device is calculated. Calculate the time-domain and frequency-domain interference levels of the jamming device on the target device, iterate through and obtain the time-domain and frequency-domain interference levels of any radio transmitting device other than the target device on the target device, and calculate the first mean of all time-domain interference levels and the second mean of all frequency-domain interference levels. Calculate the first ratio of the time-domain interference level of the jamming device to the target device to the first mean, calculate the second ratio of the frequency-domain interference level of the jamming device to the target device to the second mean, calculate the sum of the first ratio and the second ratio, and calculate the first product of the sum and the energy value of the interference noise sequence of the target device, and iterate to obtain the first product of each interference process; Obtain the straight-line distance between the jamming device and the target device, and obtain the maximum straight-line distance within the coverage area of ​​the radio transceiver base station. Calculate the third ratio of the maximum straight-line distance to the straight-line distance. The product of the third ratio and the first product is used as the interference weight of the interfering device on the target device; The product of the transmit power adjustment coefficient and the preset transmit power value of the target device is used as the transmit power correction value of the target device. The transmit power correction value is returned to the target device to adjust the transmit power of the radio frequency signal in real time, thereby completing the communication anti-interference.

2. The intelligent anti-interference method for wireless communication based on artificial intelligence according to claim 1, characterized in that, The interference acquisition process includes: Use any radio transmitting device other than the target device as a reference device, and use any historical wireless communication process in which the target device and the reference device communicate simultaneously as an interference process.

3. The intelligent anti-interference method for wireless communication based on artificial intelligence according to claim 1, characterized in that, The degree of time-domain interference includes: For any interference process, the interference noise sequence of the interference device is obtained in the same way. The negative exponential value of the DTW distance between the interference noise sequence of the target device and the interference noise sequence of the interference device is taken as the time-domain interference degree.

4. The intelligent anti-interference method for wireless communication based on artificial intelligence according to claim 1, characterized in that, The frequency domain interference level includes: For any interference process, the Fourier transform of the interference noise sequence of the target device is used to obtain the spectrum and the amplitude sequence composed of frequency amplitude. Similarly, the amplitude sequence of the interfering device is obtained. The negative exponent of the Manhattan distance between the amplitude sequence of the target device and the amplitude sequence of the interfering device is used as the frequency domain interference degree.

5. The intelligent anti-interference method for wireless communication based on artificial intelligence according to claim 1, characterized in that, The calculation of the target device's transmit power adjustment coefficient during the detection process includes: The sequence of received signal values ​​with the target device tag collected by the radio transceiver base station during the detection process is obtained. Any radio transmitting device other than the target device during the detection process is taken as the interference device to be detected. The normalized interference weight of the interference device to the target device is obtained as the detection weight. The negative exponent of the DTW distance between the target device's received signal value sequence and the interference device's received signal value sequence during the detection process is taken as the first value. The negative exponent of the DTW distance between the target device's received signal value sequence during the detection process and the received signal value sequence of the interference device during any interference process is used as the second value. The second values ​​between the target device and the interference device during each interference process are obtained through iteration, and the third mean of all the second values ​​is calculated. Calculate the fourth ratio of the first value to the third mean; The negative exponent of the DTW distance between the received signal value sequence of the interference device to be detected and the received signal value sequence of the target device in any interference process is calculated as the third value. The third values ​​of the interference device to be detected and the target device in each interference process are obtained by iterating through the interference devices to be detected and the third value of the target device in each interference process. The fourth mean of all the third values ​​is calculated. Calculate the fifth ratio of the fourth mean to the first value; Calculate the fifth mean of the fourth ratio and the fifth ratio, and calculate the second product of the fifth mean and the weight to be detected. Iterate through each radio transmitting device except the target device to obtain the second product during the detection process, and use the sum of all the second products as the transmission power adjustment coefficient of the target device during the detection process.

6. The intelligent anti-interference method for wireless communication based on artificial intelligence according to claim 5, characterized in that, The calculation of the target device's transmit power adjustment coefficient during the detection process also includes: The interference process involving the device to be detected is taken as the research process; For any research process, obtain the energy value of the target device, and obtain the cumulative energy value of the target device in all research processes. Calculate the sixth ratio between the energy value of the target device and the cumulative energy value in any research process. The negative exponent of the DTW distance between the received signal value sequence of the target device and the received signal value sequence of the interference device to be detected in any research process is used as the fourth value. Calculate the third product of the sixth ratio and the fourth value, iterate through all the research processes to obtain the third product, and calculate the cumulative sum of the third products; Calculate the seventh ratio of the first value to the accumulated third value, and calculate the fourth product of the seventh ratio and the weight to be detected. Iterate through each radio transmitting device except the target device to obtain the fourth product during the detection process, and use the accumulated value of all fourth products as the transmission power adjustment coefficient of the target device during the detection process.

7. A wireless communication intelligent anti-interference system based on artificial intelligence, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement an artificial intelligence-based intelligent anti-interference method for wireless communication according to any one of claims 1-6.

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