Anti-interference communication method and system suitable for mobile 5G communication system

Abstract

The invention belongs to the technical field of wireless communication, and relates to an anti-interference communication method and system suitable for a mobile 5G communication system, and the method comprises the steps: receiving a signal of a current 5G communication system, carrying out the interference detection of the signal of the current 5G communication system, and obtaining the time-frequency domain interference characteristics of the signal; obtaining a trained classification model, and inputting the time-frequency domain interference characteristics of the signal into the trained classification model to obtain the interference type of the signal; obtaining an interference data sample library, searching an optimal anti-interference strategy in the interference data sample library according to the interference type of the signal, and updating the interference data sample library; according to the invention, the environmental interference signal occurring in the 5G communication process can be quickly found, the anti-interference capability of the mobile 5G communication system under multiple types of interference signals can be enhanced, and reliable communication in a severe and complex electromagnetic environment is realized.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of wireless communication, and relates to an anti-interference communication method and system suitable for a mobile 5G communication system. BACKGROUND

[0002] With the wide application of 5G communication technology in military networks and private networks, the deployment mode of 5G equipment has undergone great changes. Unlike the fixed erection, directional coverage, advance planning and regular optimization of operator networks, the 5G equipment of military and private networks is mostly mobile deployment such as vehicle-mounted, ship-mounted and air-mounted, omni-directional coverage, and faces more complex wireless environments, and thus cannot be planned in advance and optimized in signal. Therefore, the 5G communication system is more likely to be interfered by the unintentional and intentional interference of operator 5G equipment occupation, other communication equipment occupation and illegal use of unlicensed equipment during communication, resulting in serious deterioration of channel quality, causing a significant reduction in the business carrying capacity of the 5G communication system, and unreliable or even impossible communication.

[0003] Therefore, an anti-interference reliable communication method suitable for a mobile 5G system is needed, which can improve the anti-interference ability of the mobile 5G communication system in a complex and severe electromagnetic environment and improve the reliability of 5G system transmission in an unknown interference environment. SUMMARY

[0004] To solve the above technical problems, on the one hand, the application adopts an anti-interference communication method suitable for a mobile 5G communication system, which comprises:

[0005] S1, receiving the signal of the current 5G communication system, detecting the interference of the signal of the current 5G communication system, and obtaining the time-frequency domain interference characteristics of the signal;

[0006] S2, obtaining a trained classification model, inputting the time-frequency domain interference characteristics of the signal into the trained classification model, and obtaining the interference type of the signal;

[0007] S3, obtaining an interference data sample library, searching for the optimal anti-interference strategy in the interference data sample library according to the interference type of the signal, and updating the interference data sample library.

[0008] On the other hand, the application adopts an anti-interference communication system suitable for a mobile 5G communication system, which is used to implement the above method and comprises:

[0009] The interference detection module is used to receive the signal of the current 5G communication system, and detect the interference of the signal of the current 5G communication system, and obtain the time-frequency domain interference characteristics of the signal;

[0010] The interference classification module is used to classify the time-frequency domain interference characteristics of the signal, and obtain the interference type of the signal;

[0011] The anti-interference decision and processing module is used for searching for an anti-interference strategy and a priority thereof in the interference data sample library according to a signal interference type, interacting with the communication quality evaluation module step by step according to the priority of the anti-interference strategy, obtaining an evaluation result of the 5G communication system under the anti-interference strategy, and updating the priority of the anti-interference strategy in the interference data sample library according to the evaluation result under the anti-interference strategy;

[0012] The communication quality evaluation module is used for evaluating the communication quality of the 5G communication system to obtain an evaluation result of the 5G communication system.

[0013] The interference data sample library is used for storing a known signal library, an anti-interference table on a licensed frequency band of the known signal, an anti-interference table on an unlicensed frequency band of the known signal, and an anti-interference table of an unknown signal.

[0014] Advantages:

[0015] 1. The application can quickly find the environmental interference signal in the 5G communication process according to the full-band power spectrum density distribution of the environmental signal and extract the time-frequency domain interference characteristics of the abnormal amplitude signal, thereby improving the speed and accuracy of interference detection and interference classification; 2. Different anti-interference strategies are adopted for signals according to the interference type of the signal, thereby enhancing the anti-interference ability of the mobile 5G communication system under multiple types of interference signals; 3. The communication quality is evaluated step by step according to the priority of the anti-interference strategy, thereby realizing reliable communication in a harsh and complex electromagnetic environment. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 A flowchart of an anti-interference communication method suitable for a mobile 5G communication system is provided for the embodiments of the application.

[0017] Figure 2 A flowchart of interference detection is provided for the embodiments of the application.

[0018] Figure 3 A flowchart of interference classification is provided for the embodiments of the application.

[0019] Figure 4 A flowchart of the anti-interference decision and processing module is provided for the embodiments of the application.

[0020] Figure 5 A flowchart of the communication quality evaluation module is provided for the embodiments of the application.

[0021] Figure 6 A structural diagram of an anti-interference communication system suitable for a mobile 5G communication system is provided for the embodiments of the application. DETAILED DESCRIPTION

[0022] With reference to the drawings and embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0023] As shown in Figure 1 , the embodiment of the present application adopts an anti-interference communication method suitable for a motorized 5G communication system, which comprises:

[0024] S1, receiving a signal of a current 5G communication system , performing interference detection on the signal of the current 5G communication system , obtaining time-frequency domain interference characteristics of the signal ;

[0025] As shown in Figure 2 , the interference detection on the signal of the current 5G communication system comprises:

[0026] S11, sampling, filtering, amplifying and down-converting the signal of the current 5G communication system to obtain an environmental signal;

[0027] Specifically, a sampling rate is set at a radio frequency front end of the 5G communication system, and a digital filter is configured to eliminate out-of-band noise.

[0028] S12, performing fast Fourier transform on the environmental signal to obtain a full-band power spectral density distribution of the environmental signal;

[0029] S13, judging whether there is an abnormal amplitude signal in the environmental signal according to the full-band power spectral density distribution of the environmental signal, and if so, performing step S14; otherwise, stopping the interference detection;

[0030] Judging whether there is an abnormal amplitude signal in the environmental signal comprises: configuring different frequency band environmental noise floors, comparing the full-band power spectral density distribution with the configured different frequency band environmental noise floors, and judging whether there is an abnormal amplitude signal exceeding the environmental noise floors in the environmental signal.

[0031] S14, extracting time-frequency domain interference characteristics of the abnormal amplitude signal in the environmental signal to obtain time-frequency domain interference characteristics of the signal .

[0032] Extracting time-frequency domain interference characteristics of the abnormal amplitude signal in the environmental signal comprises:

[0033] S141, windowing the abnormal amplitude signal, performing short-time Fourier transform, wavelet transform and WVD processing on the signal under each window to obtain time-frequency domain interference characteristics; wherein the short-time Fourier transform is used to extract the dynamic change characteristics of the frequency spectrum in time, and the wavelet transform and WVD processing are used to enhance the recognition ability of transient interference and find the frequency characteristics of transient interference;

[0034] WVD (Wigner-Ville Distribution) is a commonly used time-frequency analysis method, which is proposed by Wigner and later popularized by Ville. It is mainly used to describe the energy distribution of signals in time and frequency domain, and can provide time and frequency information of signals at the same time. It is widely used in non-stationary signal processing (such as radar, sonar, communication, biomedical signal, etc.).

[0035] S142, windowing the abnormal amplitude signal, normalizing the signal under each window to eliminate amplitude differences; using a discrete autocorrelation function to process the normalized signal under each window to obtain time domain interference characteristics.

[0036] Autocorrelation function (Autocorrelation Function) is used to describe the similarity of signals at different time points, which is defined as the integral (continuous signal) or sum (discrete signal) of the product of the signal and its delayed signal in time domain.

[0037] S143, combining the frequency domain interference characteristics and the time domain interference characteristics to obtain time-frequency domain interference characteristics.

[0038] S2, obtaining a trained classification model, inputting the time-frequency domain interference characteristics of the signal into the trained classification model to obtain the interference type of the signal .

[0039] As shown in Figure 3 , the trained classification model includes a first classification model and a second classification model; the interference type output by the first classification model includes an unknown signal interference type and a plurality of known signal interference types , which is used to determine whether the input signal is an unknown signal or a certain known signal stored in the interference data sample library, represents the interference type of the nth known signal stored in the interference data sample library, and N is the number of known signals stored in the interference data sample library; the interference type output by the second classification model includes a plurality of unknown signal interference types , represents the interference type of the mth unknown signal, and M is the number of interference types of unknown signals; the trained classification model is used for the signal processing the time-frequency domain interference feature of the signal includes: inputting the time-frequency domain interference feature of the signal into a first classification model to obtain a first interference type of the signal

[0040] The training process of the first classification model includes: obtaining a known signal feature library built-in an interference data sample library, extracting a time-frequency domain interference feature of each signal feature in the known signal feature library, training the first classification model according to the time-frequency domain interference feature of each signal feature in the known signal feature library, and obtaining the trained first classification model.

[0041] In one embodiment, the first classification model includes N SVM models, one SVM model is trained for each known signal, the highest positive class confidence is selected by comparing the positive class confidence of all SVM models, if the highest positive class confidence is greater than a confidence threshold, the class of the highest positive class confidence is taken as the output first interference type; otherwise, the output first interference type is set as an unknown signal interference type .

[0042] The training process of the second classification model includes: obtaining a signal set of a narrowband interference type, a wideband interference type, a pulse interference type and a comb interference type in a 5G communication system, extracting a time-frequency domain interference feature of each signal in the obtained signal set, training the second classification model according to the time-frequency domain interference feature of each signal, and obtaining the trained second classification model.

[0043] In one embodiment, the second classification model includes M SVM models, one SVM model is trained for each unknown signal, and the class with the highest positive class confidence is selected as the output second interference type by comparing the positive class confidence of all SVM models.

[0044] In one embodiment, the unknown signal interference type includes: a narrowband interference type, a wideband interference type, a pulse interference type and a comb interference type; the signals of the narrowband interference type, the wideband interference type, the pulse interference type and the comb interference type have the following characteristics:

[0045] ​​​​​​​​​Narrowband interference type: bandwidth feature ≤ 10% bandwidth, time domain performance is stable single frequency or multi-frequency superposition, frequency domain is discrete sharp peak;

[0046] Wideband interference type: bandwidth feature > 10% bandwidth, time domain performance is frequency modulation or noise waveform, frequency domain is wide convex;

[0047] Impulse interference: bandwidth feature transient, time domain performance is high amplitude narrow pulse, frequency domain is wide spectrum coverage;

[0048] Comb interference type: bandwidth multi-narrowband combination, time domain performance is periodic modulated signal, frequency domain is equally spaced comb teeth.

[0049] S3, obtain an interference data sample library, find the optimal anti-interference strategy in the interference data sample library according to the interference type of the signal, and update the interference data sample library.

[0050] The interference data sample library includes: a known signal library, an anti-interference table on the authorized frequency band of the known signal, an anti-interference table on the unauthorized frequency band of the known signal, and an anti-interference table of unknown signals; the known signal library includes: a known signal feature library and an authorized frequency band table of the known signal; wherein the known signal feature library is a purchased electromagnetic signal feature library, and the known signal includes electromagnetic signals of international standards such as 3G, 4G, 5G, WiFi, Bluetooth, Beidou, GPS; each known signal has an authorized frequency band, which means that it can only be used on this frequency band, otherwise it is illegal, so the known signal authorized frequency band table includes the authorized frequency band of each known signal.

[0051] As shown in Tables 1, 2 and 3, the anti-interference table on the authorized frequency band of the known signal, the anti-interference table on the unauthorized frequency band of the known signal, and the anti-interference table of unknown signals all include anti-interference strategies, their priorities and notes.

[0052] Table 1 Anti-interference table on the authorized frequency band of the known signal

[0053]

[0054] Table 2 Anti-interference table on the unauthorized frequency band of the known signal

[0055]

[0056] Table 3 Anti-interference table of unknown signals

[0057]

[0058] As shown in Figure 4 , finding the optimal anti-interference strategy in the interference data sample library according to the interference type of the signal and updating the interference data sample library includes:

[0059] S31. Based on the type of interference in the signal, find the corresponding anti-interference strategy and its priority in the interference data sample library;

[0060] Based on the type of interference, the corresponding anti-interference strategy and its priority are searched in the interference data sample database, including: if the interference type of the signal belongs to a known signal interference type. Then determine whether the signal is in the corresponding known signal interference type. If the signal is on a licensed frequency band, then look up the anti-interference strategy and its priority in the anti-interference table for known signal licensed frequency bands; otherwise, look up the anti-interference strategy and its priority in the anti-interference table for known signal unlicensed frequency bands; if the signal interference type belongs to unknown signal interference type... Then, based on the corresponding unknown signal interference type Find the anti-interference strategies and their priorities in the Unknown Signal Anti-Interference Table.

[0061] S32. Evaluate the communication quality of the 5G communication system under each anti-interference strategy according to priority, and obtain the optimal anti-interference strategy and the evaluation result of each anti-interference strategy.

[0062] The evaluation of the communication quality of the 5G communication system under each anti-interference strategy identified includes:

[0063] S321. Set a communication quality threshold, evaluate the communication quality of the current 5G communication system, and obtain the evaluation results. If the evaluation results If the quality falls below the communication quality threshold, stop evaluating the communication quality of the 5G communication system; otherwise, proceed to step S322.

[0064] The communication quality thresholds are the QoS requirements for transmission services, as shown in Table 4.

[0065] Table 4 Communication quality threshold requirements for different transmission services

[0066]

[0067] In one embodiment, the evaluation result of the communication quality of the 5G communication system is the channel bit error rate (BER) of the 5G communication system. Evaluating the communication quality of the current 5G communication system includes: transmitting channel bit error rate assessment data (i.e., a known test sequence) in the current 5G communication system; receiving channel bit error rate assessment data transmitted through the 5G communication system; and comparing the received and transmitted channel bit error rate assessment data to obtain the channel bit error rate. .

[0068] S322. Activate the highest priority anti-interference strategy (i.e., the highest priority anti-interference strategy among all searched anti-interference strategies), evaluate the communication quality of the 5G communication system under the highest priority anti-interference strategy, and obtain the evaluation result. If the evaluation results If the quality falls below the communication quality threshold, the evaluation is stopped, and the highest priority anti-interference strategy is selected as the optimal anti-interference strategy; otherwise, step S323 is executed.

[0069] S323. Activate the anti-interference strategy of the next priority i, evaluate the communication quality of the 5G communication system under the anti-interference strategy of the next priority i, and obtain the evaluation result. If the evaluation results If the quality falls below the communication quality threshold, the evaluation stops, and the anti-interference strategy of priority i is taken as the optimal anti-interference strategy; otherwise, step S324 is executed; where i represents the priority index.

[0070] like Figure 5 As shown, the evaluation of the communication quality of the 5G communication system under the anti-interference strategy of the next priority i includes: transmitting channel error rate assessment data (i.e., a known test sequence) in the 5G communication system under the anti-interference strategy of the next priority i; receiving the channel error rate assessment data after transmission through the 5G communication system; and comparing the received and transmitted channel error rate assessment data to obtain the channel error rate. That is, the evaluation results.

[0071] S324. Repeat step S323 until the evaluation stops or all anti-interference strategies (i.e., all found anti-interference strategies) are activated.

[0072] S33. Update the priority of anti-interference strategies in the interference data sample library based on the evaluation results of each anti-interference strategy.

[0073] The priority of updating the anti-jamming strategies in the interference data sample library includes: calculating evaluation results. The evaluation results of each anti-interference strategy being evaluated were compared separately. The difference is used to obtain the reduction value of the evaluation result for each anti-interference strategy being evaluated. Set the reduction value of the evaluation result of the anti-interference strategy that was not evaluated to 0; reduce the value according to the evaluation result. Sort all anti-interference strategies from largest to smallest, and set a new priority for each anti-interference strategy based on the sorting result; store the new priority of each anti-interference strategy in the table corresponding to the interference data sample library, that is, look up the table of anti-interference strategies and their priorities in step S31.

[0074] like Figure 6As shown, on the other hand, embodiments of the present invention employ an anti-interference communication system suitable for mobile 5G communication systems to implement the aforementioned anti-interference communication method, comprising:

[0075] The interference detection module is used to receive the signal of the current 5G communication system and perform interference detection on the signal of the current 5G communication system to obtain the time-frequency domain interference characteristics of the signal.

[0076] The interference classification module is used to classify the time-frequency domain interference characteristics of a signal to obtain the interference type of the signal;

[0077] The anti-interference decision and processing module is used to search for anti-interference strategies and their priorities in the interference data sample library according to the interference type of the signal. Based on the priority of the anti-interference strategy, it interacts with the communication quality assessment module step by step to evaluate the communication quality of the 5G communication system under the anti-interference strategy, obtains the evaluation result of the 5G communication system under each anti-interference strategy, and updates the priority of the anti-interference strategy in the interference data sample library according to the evaluation result of the anti-interference strategy.

[0078] like Figure 4 As shown, the interaction with the communication quality assessment module according to the priority of the anti-interference strategy includes:

[0079] Send channel evaluation signals to the communication quality evaluation module and receive evaluation results from the communication quality evaluation module. If the evaluation results If the error is not lower than the communication quality threshold, the highest priority anti-interference strategy is activated, and a channel evaluation signal is sent to the communication quality evaluation module. The evaluation result sent by the communication quality evaluation module is then received. If the evaluation results If the error is not lower than the communication quality threshold, then the anti-interference strategy of the next priority i is activated, and a channel evaluation signal is sent to the communication quality evaluation module, and the evaluation result sent by the communication quality evaluation module is received. Repeat the above steps until the evaluation result is below the communication quality threshold or all anti-interference strategies are activated.

[0080] The communication quality assessment module is used to assess the communication quality of the 5G communication system and obtain the assessment results of the 5G communication system.

[0081] like Figure 5 As shown, the evaluation of the communication quality of a 5G communication system includes: receiving the channel evaluation signal sent by the anti-interference decision and processing module; transmitting channel error rate evaluation data (i.e., a known test sequence) in the 5G communication system; determining whether the anti-interference decision has been activated; if so, receiving the channel error rate evaluation data transmitted through the 5G communication system; and comparing the received and transmitted channel error rate evaluation data to obtain the channel error rate. If the result is positive, the channel error rate assessment number is sent again in the 5G communication system; otherwise, the channel error rate assessment number is sent again.

[0082] An interference data sample library is used to store a library of known signals, anti-interference tables for known signals in licensed frequency bands, anti-interference tables for known signals in unlicensed frequency bands, and anti-interference tables for unknown signals.

[0083] The above-described embodiments further illustrate the purpose, technical solution, and advantages of the present invention. It should be understood that the above-described embodiments are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made to the present invention within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An anti-interference communication method suitable for mobile 5G communication systems, characterized in that, include: S1. Receive the signal from the current 5G communication system, perform interference detection on the signal from the current 5G communication system, and obtain the time-frequency domain interference characteristics of the signal. S2. Obtain the trained classification model, input the time-frequency domain interference features of the signal into the trained classification model, and obtain the interference type of the signal; S3. Obtain the interference data sample library, find the optimal anti-interference strategy in the interference data sample library according to the interference type of the signal, and update the interference data sample library.

2. The anti-interference communication method for a mobile 5G communication system according to claim 1, characterized in that, Interference detection for current 5G communication systems includes: S11. Sample, filter, amplify, and downconvert the signal of the current 5G communication system to obtain the environmental signal; S12. Perform a fast Fourier transform on the environmental signal to obtain the full-band power spectral density distribution of the environmental signal; S13. Determine whether there is an abnormal amplitude signal in the environmental signal based on the full-band power spectral density distribution of the environmental signal. If so, proceed to step S14; otherwise, stop the interference detection. S14. Extract the time-frequency domain interference characteristics of abnormal amplitude signals in the environmental signals.

3. The anti-interference communication method for a mobile 5G communication system according to claim 1, characterized in that, The trained classification models include: a first classification model and a second classification model; the interference types output by the first classification model include: unknown signal interference types and various known signal interference types; the interference types output by the second classification model include various unknown signal interference types. The trained classification model processes the time-frequency domain interference features of the signal by: inputting the time-frequency domain interference features of the signal into the first classification model to obtain the first interference type of the signal; if the first interference type of the signal belongs to a known signal interference type, then the first interference type is taken as the interference type of the signal; otherwise, the time-frequency domain interference features of the signal are input into the second classification model to obtain the second interference type of the signal, and the second interference type is taken as the interference type of the signal.

4. The anti-interference communication method for a mobile 5G communication system according to claim 1, characterized in that, The optimal anti-interference strategy is found in the interference data sample library based on the type of interference, and the interference data sample library is updated accordingly. S31. Based on the type of interference in the signal, find the corresponding anti-interference strategy and its priority in the interference data sample library; S32. Evaluate the communication quality of the 5G communication system under each anti-interference strategy according to priority, and obtain the optimal anti-interference strategy and the evaluation result of each anti-interference strategy. S33. Update the priority of anti-interference strategies in the interference data sample library based on the evaluation results of each anti-interference strategy.

5. The anti-interference communication method for a mobile 5G communication system according to claim 4, characterized in that, The interference data sample library includes: a known signal library, an anti-interference table for known signals in licensed frequency bands, an anti-interference table for known signals in unlicensed frequency bands, and an anti-interference table for unknown signals; the known signal library includes: a known signal feature library and a known signal licensed frequency band table; among them, the anti-interference table for known signals in licensed frequency bands, the anti-interference table for known signals in unlicensed frequency bands, and the anti-interference table for unknown signals all include multiple anti-interference strategies and their priorities, and the known signal licensed frequency band table includes the licensed frequency bands for known signals.

6. The anti-interference communication method for a mobile 5G communication system according to claim 5, characterized in that, The process of searching for corresponding anti-interference strategies and their priorities in the interference data sample database based on the interference type of the signal includes: if the interference type of the signal belongs to a known signal interference type, then it is determined whether the signal is on the licensed frequency band of the corresponding known signal interference type. If so, the anti-interference strategy and its priority are searched in the anti-interference table for the licensed frequency band of the known signal; otherwise, the anti-interference strategy and its priority are searched in the anti-interference table for the unlicensed frequency band of the known signal. If the interference type of the signal belongs to an unknown signal interference type, the anti-interference strategy and its priority are searched in the unknown signal anti-interference table according to the corresponding unknown signal interference type.

7. The anti-interference communication method for a mobile 5G communication system according to claim 3, characterized in that, The evaluation of the communication quality of the 5G communication system under each anti-interference strategy identified includes: S321. Set a communication quality threshold, evaluate the communication quality of the current 5G communication system, and obtain the evaluation results. If the evaluation results If the quality falls below the communication quality threshold, stop evaluating the communication quality of the 5G communication system; otherwise, proceed to step S322. S322. Activate the highest priority anti-interference strategy, evaluate the communication quality of the 5G communication system under the highest priority anti-interference strategy, and obtain the evaluation results. If the evaluation results If the quality falls below the communication quality threshold, the evaluation is stopped, and the highest priority anti-interference strategy is selected as the optimal anti-interference strategy; otherwise, step S323 is executed. S323. Activate the anti-interference strategy of the next priority i, evaluate the communication quality of the 5G communication system under the anti-interference strategy of the next priority i, and obtain the evaluation result. If the evaluation results If the quality falls below the communication quality threshold, the evaluation stops, and the anti-interference strategy of priority i is taken as the optimal anti-interference strategy; otherwise, step S324 is executed; where i represents the priority index. S324. Repeat step S323 until the evaluation stops or all anti-interference strategies are activated.

8. The anti-interference communication method for a mobile 5G communication system according to claim 7, characterized in that, The evaluation result of the communication quality of a 5G communication system is the channel bit error rate of the 5G communication system; The evaluation of the communication quality of the 5G communication system under the anti-interference strategy of the next priority i includes: transmitting channel error rate assessment data in the 5G communication system under the anti-interference strategy of the next priority i, receiving channel error rate assessment data transmitted through the 5G communication system, and comparing the received and transmitted channel error rate assessment data to obtain the channel error rate. .

9. The anti-interference communication method for a mobile 5G communication system according to claim 7, characterized in that, The priority of updating the anti-jamming strategies in the interference data sample library includes: calculating evaluation results. The evaluation results of each anti-interference strategy being evaluated were compared separately. The difference is used to obtain the reduction value of the evaluation result for each anti-interference strategy being evaluated. Set the reduction value of the evaluation result of the anti-interference strategy that was not evaluated to 0; reduce the value according to the evaluation result. Sort all anti-interference strategies from largest to smallest, and set a new priority for each anti-interference strategy based on the sorting results; store the new priority of each anti-interference strategy in the interference data sample library.

10. An anti-interference communication system suitable for mobile 5G communication systems, used to implement the method described in any one of claims 1 to 9, characterized in that, include: The interference detection module is used to receive the signal of the current 5G communication system and perform interference detection on the signal of the current 5G communication system to obtain the time-frequency domain interference characteristics of the signal. The interference classification module is used to classify the time-frequency domain interference characteristics of a signal to obtain the interference type of the signal; The anti-interference decision and processing module is used to search for anti-interference strategies and their priorities in the interference data sample library according to the type of interference of the signal. It interacts with the communication quality assessment module step by step according to the priority of the anti-interference strategy to obtain the assessment results of the 5G communication system under each anti-interference strategy, and updates the priority of the anti-interference strategy in the interference data sample library according to the assessment results under the anti-interference strategy. The communication quality assessment module is used to assess the communication quality of the 5G communication system and obtain the assessment results of the 5G communication system. An interference data sample library is used to store a library of known signals, anti-interference tables for known signals in licensed frequency bands, anti-interference tables for known signals in unlicensed frequency bands, and anti-interference tables for unknown signals.

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