Method, system and medium for jamming enemy communications based on large model technology

Abstract

The present application provides a method, system and medium for jamming enemy communications based on large model technology. The method includes: obtaining enemy communication signal information, extracting communication signal data, processing to obtain communication jamming strategies, performing communication jamming on enemy communication signals, obtaining enemy communication signal change information, extracting communication signal change data including communication stability evaluation data, communication performance change data and enemy reaction evaluation data, and processing them separately to obtain communication signal change index, communication performance change index and enemy reaction evaluation index, and obtaining communication jamming effectiveness index after further processing, and finally comparing the threshold with the preset communication jamming effectiveness threshold, and adjusting the communication jamming strategy according to the comparison result; the present application obtains the corresponding jamming strategy based on the enemy communication signal and analyzes the jamming effectiveness, thereby improving the pertinence of communication jamming and realizing real-time evaluation of jamming effect and dynamic adjustment of jamming strategy.

Description

Technical Field

[0001] The present application relates to the field of communication jamming technology, and more specifically, to a method, system and medium for jamming enemy communications based on large model technology. Background Art

[0002] In modern warfare and military confrontation, communication systems play a vital role. The enemy's communication system may be used for command, coordination of combat operations, transmission of intelligence, etc. Therefore, effective interference with enemy communications is one of the important means to gain military advantage. Traditional communication interference methods mainly include noise interference, frequency interference, etc., but these methods are often not targeted and have limited interference effects. It is impossible to timely and accurately analyze the actual effect of the interference strategy and adjust the interference strategy in a targeted manner.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide a method, system and medium for jamming enemy communications based on large model technology, which can obtain corresponding jamming strategies based on enemy communication signals and analyze the jamming effectiveness, thereby improving the targeted nature of communication jamming and realizing real-time evaluation of jamming effects and dynamic adjustment of jamming strategies.

[0005] The present application also provides a method for jamming enemy communications based on a large model technology, comprising the following steps:

[0006] Obtain enemy communication signal information, extract communication signal data, and process it to obtain communication jamming strategies;

[0007] performing communication interference on enemy communication signals according to the communication interference strategy;

[0008] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0009] Processing the communication stability evaluation data, the communication performance change data and the enemy reaction evaluation data respectively to obtain a communication signal change index, a communication performance change index and an enemy reaction evaluation index;

[0010] Processing is performed according to the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index to obtain a communication interference effectiveness index;

[0011] The communication interference effectiveness index is compared with a preset communication interference effectiveness threshold, and the communication interference strategy is adjusted according to the comparison result.

[0012] Optionally, in the method for jamming enemy communications based on the large model technology described in the present application, the acquiring of enemy communication signal information, extracting communication signal data, and processing the data to obtain a communication jamming strategy includes:

[0013] Obtain enemy communication signal information and extract communication signal data, including signal frequency, bandwidth data, modulation method characteristic data, and coding method characteristic data;

[0014] Based on a preset communication interference strategy library, the signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data are matched and analyzed to generate a corresponding communication interference strategy.

[0015] Optionally, in the method for jamming enemy communications based on the large model technology described in the present application, the acquiring of enemy communication signal change information and the extraction of communication signal change data, including communication stability evaluation data, communication performance change data and enemy response evaluation data, include:

[0016] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0017] The communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data;

[0018] The communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate;

[0019] The enemy response assessment data includes the value of the signal frequency adjustment times, the anti-interference response rate and the communication strategy change rate within a preset time period.

[0020] Optionally, in the method for jamming enemy communications based on the large model technology described in the present application, the communication stability evaluation data, the communication performance change data, and the enemy reaction evaluation data are processed respectively to obtain a communication signal change index, a communication performance change index, and an enemy reaction evaluation index, including:

[0021] Inputting the communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data into a preset communication signal change evaluation model for processing to obtain a communication signal change index;

[0022] Inputting the signal strength weakening rate, bit error rate and transmission rate attenuation rate into a preset communication performance change evaluation model for processing to obtain a communication performance change index;

[0023] The signal frequency adjustment times, anti-interference response rate and communication strategy change rate are input into a preset enemy reaction evaluation model for processing to obtain an enemy reaction degree evaluation index.

[0024] Optionally, in the method for jamming enemy communications based on the large model technology described in the present application, the processing according to the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index to obtain the communication jamming effectiveness index includes:

[0025] Inputting the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index into a preset communication interference effectiveness evaluation model for processing to obtain a communication interference effectiveness index;

[0026] The calculation formula of the communication interference effectiveness index in the communication interference effectiveness evaluation model is:

[0027] ;

[0028] in, is the communication interference effectiveness index, , , They are the communication signal change index, communication performance change index and enemy reaction evaluation index, , is the preset characteristic coefficient.

[0029] Optionally, the method for jamming enemy communications based on the large model technology described in the present application further includes:

[0030] Comparing the communication interference effectiveness index with a preset communication interference effectiveness threshold, and adjusting the communication interference strategy according to the comparison result, including:

[0031] Comparing the communication interference effectiveness index with a preset interference effectiveness standard index to obtain an interference effectiveness relative value;

[0032] Performing a threshold comparison between the interference effectiveness relative value and a preset interference effectiveness threshold;

[0033] If it is less than or equal to a preset interference effectiveness threshold, adjusting the communication interference strategy;

[0034] If it is greater than the preset interference effectiveness threshold, communication interference is implemented according to the communication interference strategy.

[0035] In a second aspect, the present application provides an enemy communication jamming system based on a large model technology, the system comprising: a memory and a processor, the memory comprising a program of an enemy communication jamming method based on a large model technology, and the program of the enemy communication jamming method based on a large model technology is executed by the processor to implement the following steps:

[0036] Obtain enemy communication signal information, extract communication signal data, and process it to obtain communication jamming strategies;

[0037] performing communication interference on enemy communication signals according to the communication interference strategy;

[0038] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0039] Processing the communication stability evaluation data, the communication performance change data and the enemy reaction evaluation data respectively to obtain a communication signal change index, a communication performance change index and an enemy reaction evaluation index;

[0040] Processing is performed according to the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index to obtain a communication interference effectiveness index;

[0041] The communication interference effectiveness index is compared with a preset communication interference effectiveness threshold, and the communication interference strategy is adjusted according to the comparison result.

[0042] Optionally, in the enemy communication jamming system based on large model technology described in the present application, the acquiring of enemy communication signal information, extracting communication signal data, and processing the data to obtain a communication jamming strategy includes:

[0043] Obtain enemy communication signal information and extract communication signal data, including signal frequency, bandwidth data, modulation method characteristic data, and coding method characteristic data;

[0044] Based on a preset communication interference strategy library, the signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data are matched and analyzed to generate a corresponding communication interference strategy.

[0045] Optionally, in the enemy communication jamming system based on large model technology described in the present application, the acquiring of enemy communication signal change information and the extraction of communication signal change data, including communication stability evaluation data, communication performance change data and enemy response evaluation data, include:

[0046] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0047] The communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data;

[0048] The communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate;

[0049] The enemy response assessment data includes the value of the signal frequency adjustment times, the anti-interference response rate and the communication strategy change rate within a preset time period.

[0050] In a third aspect, the present application also provides a computer-readable storage medium, in which a program for a method for interfering with enemy communications based on large model technology is stored. When the program for a method for interfering with enemy communications based on large model technology is executed by a processor, the steps of the method for interfering with enemy communications based on large model technology as described in any one of the above items are implemented.

[0051] From the above, it can be seen that the enemy communication interference method, system and medium based on large model technology provided by the present application obtain corresponding interference strategies based on enemy communication signals and analyze the interference effectiveness, thereby improving the targeted nature of communication interference and realizing real-time evaluation of interference effects and dynamic adjustment of interference strategies.

[0052] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 A flowchart of a method for jamming enemy communications based on a large model technology provided in an embodiment of the present application;

[0055] Figure 2 A flow chart of obtaining a communication jamming strategy for an enemy communication jamming method based on a large model technology provided in an embodiment of the present application;

[0056] Figure 3 A flowchart of obtaining a communication signal variation index, a communication performance variation index and an enemy reaction evaluation index for an enemy communication interference method based on a large model technology provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0058] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0059] Please refer to Figure 1 , Figure 1 The flowchart of the method for jamming enemy communications based on the large model technology in some embodiments of the present application. The method for jamming enemy communications based on the large model technology is used in terminal equipment, such as computers, mobile phone terminals, etc. The method for jamming enemy communications based on the large model technology includes the following steps:

[0060] S11, obtaining enemy communication signal information, extracting communication signal data, and processing it to obtain a communication interference strategy;

[0061] S12, performing communication interference on the enemy communication signal according to the communication interference strategy;

[0062] S13, obtaining enemy communication signal change information, and extracting communication signal change data, including communication stability evaluation data, communication performance change data, and enemy response evaluation data;

[0063] S14, processing the communication stability evaluation data, the communication performance change data and the enemy reaction evaluation data respectively to obtain a communication signal change index, a communication performance change index and an enemy reaction evaluation index;

[0064] S15, performing processing according to the communication signal change index, the communication performance change index and the enemy reaction evaluation index to obtain a communication interference effectiveness index;

[0065] S16: Perform a threshold comparison between the communication interference effectiveness index and a preset communication interference effectiveness threshold, and adjust the communication interference strategy according to the comparison result.

[0066] It should be noted that in order to interfere with the enemy's communication signal, the enemy's communication signal information is first obtained, and the communication signal data including signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data are extracted. The corresponding communication interference strategy is obtained according to the enemy's communication signal data, and the enemy's communication signal is interfered based on the communication interference strategy. It is also necessary to evaluate the communication interference effect to determine whether the interference strategy is targeted. By obtaining the enemy's communication signal change information, the communication signal change data including communication stability evaluation data, communication performance change data and enemy reaction evaluation data are extracted, and they are processed separately to obtain the communication signal change index, communication performance change index and enemy reaction evaluation index. After further comprehensive processing, the communication interference effectiveness index is obtained. Finally, through threshold comparison, it is determined whether the communication interference effectiveness meets the standard, and whether the communication interference strategy needs to be revised according to the comparison.

[0067] Please refer to Figure 2 , Figure 2 The flowchart of obtaining the communication jamming strategy of the method for jamming enemy communication based on the large model technology in some embodiments of the present application. According to the embodiment of the present invention, the acquisition of enemy communication signal information, extraction of communication signal data, and processing to obtain the communication jamming strategy includes:

[0068] S21, obtaining enemy communication signal information, extracting communication signal data, including signal frequency, bandwidth data, modulation mode characteristic data, and coding mode characteristic data;

[0069] S22. Based on a preset communication interference strategy library, matching analysis is performed on the signal frequency, bandwidth data, modulation mode characteristic data, and coding mode characteristic data to generate a corresponding communication interference strategy.

[0070] It should be noted that in order to obtain a communication interference strategy for enemy communication signals, it is necessary to first obtain the enemy communication signal information and extract the communication signal data, including signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data, and query the preset communication interference strategy library according to the communication signal data to obtain the corresponding communication interference strategy, including interference mode, interference frequency, interference power and interference time. Among them, the preset communication interference strategy library is obtained by analyzing the signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data of a large number of historical samples and the corresponding communication interference strategies.

[0071] According to an embodiment of the present invention, the acquisition of enemy communication signal change information and the extraction of communication signal change data, including communication stability evaluation data, communication performance change data and enemy reaction evaluation data, include:

[0072] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0073] The communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data;

[0074] The communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate;

[0075] The enemy response assessment data includes the value of the signal frequency adjustment times, the anti-interference response rate and the communication strategy change rate within a preset time period.

[0076] It should be noted that after implementing communication interference on the enemy's communication signal, it is necessary to evaluate the interference effect. Therefore, the enemy's communication signal change information is obtained, and the communication signal change data including communication stability evaluation data, communication performance change data and enemy reaction evaluation data are extracted. Among them, the communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data; the communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate; the enemy reaction evaluation data includes the number of signal frequency adjustment times within a preset time period, the anti-interference response rate and the communication strategy change rate.

[0077] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining a communication signal variation index, a communication performance variation index, and an enemy reaction evaluation index of a method for jamming enemy communications based on a large model technology in some embodiments of the present application. According to an embodiment of the present invention, the communication stability evaluation data, the communication performance variation data, and the enemy reaction evaluation data are processed respectively to obtain a communication signal variation index, a communication performance variation index, and an enemy reaction evaluation index, including:

[0078] S31, inputting the communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data into a preset communication signal change evaluation model for processing to obtain a communication signal change index;

[0079] S32, inputting the signal strength weakening rate, bit error rate and transmission rate attenuation rate into a preset communication performance change evaluation model for processing to obtain a communication performance change index;

[0080] S33, inputting the signal frequency adjustment times, anti-interference response rate and communication strategy change rate into a preset enemy reaction evaluation model for processing, and obtaining an enemy reaction degree evaluation index.

[0081] It should be noted that by processing the acquired communication stability evaluation data, communication performance change data and communication signal change data of the enemy reaction evaluation data respectively, the communication signal change index, communication performance change index and enemy reaction evaluation index are obtained, specifically:

[0082] Input the communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data into a preset communication signal change evaluation model for processing to obtain a communication signal change index, wherein the communication signal change index refers to a signal degradation degree evaluation index calculated based on the communication signal change data;

[0083] The calculation formula of the communication signal change index in the communication signal change evaluation model is:

[0084] ;

[0085] in, is the communication signal variation index, , , , They are communication interruption duration data, communication interruption frequency data, communication delay data and communication reconnection duration data. , The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0086] Input the signal strength weakening rate, bit error rate and transmission rate attenuation rate into a preset communication performance change evaluation model for processing to obtain a communication performance change index, wherein the communication performance change index refers to a communication performance degradation degree evaluation index calculated based on the communication stability evaluation data;

[0087] The communication performance change index calculation formula in the communication performance change evaluation model is:

[0088] ;

[0089] in, is the communication performance variation index, , , are the signal strength weakening rate, bit error rate and transmission rate attenuation rate respectively. , , The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0090] The signal frequency adjustment times, anti-interference response rate and communication strategy change rate are input into a preset enemy reaction evaluation model for processing to obtain an enemy reaction evaluation index, wherein the enemy reaction evaluation index refers to an evaluation index of the efficiency of the enemy's response to communication signal interference calculated based on the enemy reaction evaluation data;

[0091] The enemy reaction evaluation index calculation formula in the enemy reaction evaluation model is:

[0092] ;

[0093] in, is the enemy reaction evaluation index, , , are the signal frequency adjustment times, anti-interference response rate and communication strategy change rate, respectively. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset enemy communication interference platform).

[0094] According to an embodiment of the present invention, the processing according to the communication signal change index, the communication performance change index and the enemy reaction evaluation index to obtain the communication interference effectiveness index includes:

[0095] Inputting the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index into a preset communication interference effectiveness evaluation model for processing to obtain a communication interference effectiveness index;

[0096] The calculation formula of the communication interference effectiveness index in the communication interference effectiveness evaluation model is:

[0097] ;

[0098] in, is the communication interference effectiveness index, , , They are the communication signal change index, communication performance change index and enemy reaction evaluation index, , is the preset characteristic coefficient.

[0099] It should be noted that the obtained communication signal change index, communication performance change index and enemy reaction evaluation index are comprehensively processed to obtain the communication interference effectiveness index, which is used to evaluate the actual effect of the interference strategy on the enemy's communication signal interference.

[0100] According to an embodiment of the present invention, the step of comparing the communication interference effectiveness index with a preset communication interference effectiveness threshold, and adjusting the communication interference strategy according to the comparison result, includes:

[0101] Comparing the communication interference effectiveness index with a preset interference effectiveness standard index to obtain an interference effectiveness relative value;

[0102] Performing a threshold comparison between the interference effectiveness relative value and a preset interference effectiveness threshold;

[0103] If it is less than or equal to a preset interference effectiveness threshold, adjusting the communication interference strategy;

[0104] If it is greater than the preset interference effectiveness threshold, communication interference is implemented according to the communication interference strategy.

[0105] It should be noted that the communication interference effectiveness index is compared with the preset interference effectiveness standard index to obtain the interference effectiveness relative value. For example, the obtained communication interference effectiveness index is 80, and the interference effectiveness standard index is 100, then 80 / 100=0.8 is the interference effectiveness relative value, and the interference effectiveness relative value is compared with the preset interference effectiveness threshold. In this embodiment, the interference effectiveness threshold is set to (0, 0.85], (0.85, 1]. For example, if the obtained interference effectiveness relative value is 0.8, it means that the interference effectiveness is insufficient and the interference strategy needs to be adjusted; if the obtained interference effectiveness relative value is 0.95, it means that the interference effect is good, and the communication interference continues to be implemented according to the communication interference strategy.

[0106] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0107] Get the signal information corresponding to the signal receiving device and extract the RSSI value;

[0108] Acquire signal type characteristic data of the communication signal, and query the corresponding path loss coefficient according to the signal type characteristic data;

[0109] The RSSI value and the path loss coefficient are input into a preset signal transmission distance evaluation model for processing to obtain first predicted distance data from the signal receiving device to the enemy communication signal source.

[0110] It should be noted that by monitoring the enemy's communication signal, the distance from the enemy's signal source to the signal receiving device can be estimated. According to the distance, the interference strategy can be adjusted in a targeted manner to further improve the interference effectiveness. First, the signal information corresponding to the signal receiving device is obtained, and the RSSI value is extracted. RSSI is the received signal strength indicator, which is a measurement unit used to represent the strength of the received electromagnetic wave signal, and measures the signal strength received by the device from the base station or other transmitting point. The larger the RSSI value, the stronger the signal received by the device. Then, the corresponding path loss coefficient is queried according to the signal type characteristic data of the communication signal, and the RSSI value and the path loss coefficient are input into the preset signal transmission distance evaluation model for processing to obtain the first predicted distance data from the signal receiving device to the enemy's communication signal source, wherein the preset signal transmission distance evaluation model is obtained by obtaining the RSSI values ​​and path loss coefficients of a large number of historical samples and the corresponding predicted distance data for training.

[0111] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0112] Obtain environmental characteristic data within the preset range of the signal receiving device, including real-time temperature, precipitation data and real-time wind speed;

[0113] Processing the real-time temperature, precipitation data and real-time wind speed to obtain a prediction distance correction factor;

[0114] Correcting the first predicted distance data according to the predicted distance correction factor to obtain second predicted distance data;

[0115] The communication interference strategy is modified according to the second predicted distance data.

[0116] It should be noted that the attenuation of the signal transmission process is affected by many factors. In this embodiment, the impact of real-time weather on signal strength attenuation is analyzed, and environmental characteristic data including real-time temperature, precipitation data and real-time wind speed are obtained and processed to obtain the predicted distance correction factor;

[0117] The calculation formula of the predicted distance correction factor is:

[0118] ;

[0119] in, is the prediction distance correction factor, , , They are real-time temperature, precipitation data and real-time wind speed, , , The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0120] Then, the acquired first predicted distance data is corrected to obtain second predicted distance data;

[0121] The second prediction distance data calculation formula is:

[0122] ;

[0123] in, is the second predicted distance data, , are the predicted distance correction factor and the first predicted distance data respectively, The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0124] Finally, the interference strategy is further modified and adjusted based on the second predicted distance data obtained, such as changing the location of the interference device, the interference intensity, etc.

[0125] The present invention also discloses a system for jamming enemy communications based on a large model technology, comprising a memory and a processor, wherein the memory comprises a program for jamming enemy communications based on a large model technology, and when the program for jamming enemy communications based on a large model technology is executed by the processor, the following steps are implemented:

[0126] Obtain enemy communication signal information, extract communication signal data, and process it to obtain communication jamming strategies;

[0127] performing communication interference on enemy communication signals according to the communication interference strategy;

[0128] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0129] Processing the communication stability evaluation data, the communication performance change data and the enemy reaction evaluation data respectively to obtain a communication signal change index, a communication performance change index and an enemy reaction evaluation index;

[0130] Processing is performed according to the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index to obtain a communication interference effectiveness index;

[0131] The communication interference effectiveness index is compared with a preset communication interference effectiveness threshold, and the communication interference strategy is adjusted according to the comparison result.

[0132] It should be noted that in order to interfere with the enemy's communication signal, the enemy's communication signal information is first obtained, and the communication signal data including signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data are extracted. The corresponding communication interference strategy is obtained according to the enemy's communication signal data, and the enemy's communication signal is interfered based on the communication interference strategy. It is also necessary to evaluate the communication interference effect to determine whether the interference strategy is targeted. By obtaining the enemy's communication signal change information, the communication signal change data including communication stability evaluation data, communication performance change data and enemy reaction evaluation data are extracted, and they are processed separately to obtain the communication signal change index, communication performance change index and enemy reaction evaluation index. After further comprehensive processing, the communication interference effectiveness index is obtained. Finally, through threshold comparison, it is determined whether the communication interference effectiveness meets the standard, and whether the communication interference strategy needs to be revised according to the comparison.

[0133] According to an embodiment of the present invention, the acquiring of enemy communication signal information, extracting communication signal data, and processing the data to obtain a communication interference strategy includes:

[0134] Obtain enemy communication signal information and extract communication signal data, including signal frequency, bandwidth data, modulation method characteristic data, and coding method characteristic data;

[0135] Based on a preset communication interference strategy library, the signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data are matched and analyzed to generate a corresponding communication interference strategy.

[0136] It should be noted that in order to obtain a communication interference strategy for enemy communication signals, it is necessary to first obtain the enemy communication signal information and extract the communication signal data, including signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data, and query the preset communication interference strategy library according to the communication signal data to obtain the corresponding communication interference strategy, including interference mode, interference frequency, interference power and interference time. Among them, the preset communication interference strategy library is obtained by analyzing the signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data of a large number of historical samples and the corresponding communication interference strategies.

[0137] According to an embodiment of the present invention, the acquisition of enemy communication signal change information and the extraction of communication signal change data, including communication stability evaluation data, communication performance change data and enemy reaction evaluation data, include:

[0138] Obtain enemy communication signal change information and extract communication signal change data, including communication stability assessment data, communication performance change data and enemy response assessment data;

[0139] The communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data;

[0140] The communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate;

[0141] The enemy response assessment data includes the value of the signal frequency adjustment times, the anti-interference response rate and the communication strategy change rate within a preset time period.

[0142] It should be noted that after implementing communication interference on the enemy's communication signal, it is necessary to evaluate the interference effect. Therefore, the enemy's communication signal change information is obtained, and the communication signal change data including communication stability evaluation data, communication performance change data and enemy reaction evaluation data are extracted. Among them, the communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data; the communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate; the enemy reaction evaluation data includes the number of signal frequency adjustment times within a preset time period, the anti-interference response rate and the communication strategy change rate.

[0143] According to an embodiment of the present invention, the communication stability evaluation data, the communication performance change data, and the enemy reaction evaluation data are processed respectively to obtain a communication signal change index, a communication performance change index, and an enemy reaction evaluation index, including:

[0144] Inputting the communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data into a preset communication signal change evaluation model for processing to obtain a communication signal change index;

[0145] Inputting the signal strength weakening rate, bit error rate and transmission rate attenuation rate into a preset communication performance change evaluation model for processing to obtain a communication performance change index;

[0146] The signal frequency adjustment times, anti-interference response rate and communication strategy change rate are input into a preset enemy reaction evaluation model for processing to obtain an enemy reaction degree evaluation index.

[0147] It should be noted that by processing the acquired communication stability evaluation data, communication performance change data and communication signal change data of the enemy reaction evaluation data respectively, the communication signal change index, communication performance change index and enemy reaction evaluation index are obtained, specifically:

[0148] Input the communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data into a preset communication signal change evaluation model for processing to obtain a communication signal change index, wherein the communication signal change index refers to a signal degradation degree evaluation index calculated based on the communication signal change data;

[0149] The calculation formula of the communication signal change index in the communication signal change evaluation model is:

[0150] ;

[0151] in, is the communication signal variation index, , , , They are communication interruption duration data, communication interruption frequency data, communication delay data and communication reconnection duration data. , The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0152] Input the signal strength weakening rate, bit error rate and transmission rate attenuation rate into a preset communication performance change evaluation model for processing to obtain a communication performance change index, wherein the communication performance change index refers to a communication performance degradation degree evaluation index calculated based on the communication stability evaluation data;

[0153] The communication performance change index calculation formula in the communication performance change evaluation model is:

[0154] ;

[0155] in, is the communication performance variation index, , , are the signal strength weakening rate, bit error rate and transmission rate attenuation rate respectively. , , The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0156] The signal frequency adjustment times, anti-interference response rate and communication strategy change rate are input into a preset enemy reaction evaluation model for processing to obtain an enemy reaction evaluation index, wherein the enemy reaction evaluation index refers to an evaluation index of the efficiency of the enemy's response to communication signal interference calculated based on the enemy reaction evaluation data;

[0157] The enemy reaction evaluation index calculation formula in the enemy reaction evaluation model is:

[0158] ;

[0159] in, is the enemy reaction evaluation index, , , are the signal frequency adjustment times, anti-interference response rate and communication strategy change rate, respectively. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset enemy communication interference platform).

[0160] According to an embodiment of the present invention, the processing according to the communication signal change index, the communication performance change index and the enemy reaction evaluation index to obtain the communication interference effectiveness index includes:

[0161] Inputting the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index into a preset communication interference effectiveness evaluation model for processing to obtain a communication interference effectiveness index;

[0162] The calculation formula of the communication interference effectiveness index in the communication interference effectiveness evaluation model is:

[0163] ;

[0164] in, is the communication interference effectiveness index, , , They are the communication signal change index, communication performance change index and enemy reaction evaluation index, , is the preset characteristic coefficient.

[0165] It should be noted that the obtained communication signal change index, communication performance change index and enemy reaction evaluation index are comprehensively processed to obtain the communication interference effectiveness index, which is used to evaluate the actual effect of the interference strategy on the enemy's communication signal interference.

[0166] According to an embodiment of the present invention, the step of comparing the communication interference effectiveness index with a preset communication interference effectiveness threshold, and adjusting the communication interference strategy according to the comparison result, includes:

[0167] Comparing the communication interference effectiveness index with a preset interference effectiveness standard index to obtain an interference effectiveness relative value;

[0168] Performing a threshold comparison between the interference effectiveness relative value and a preset interference effectiveness threshold;

[0169] If it is less than or equal to a preset interference effectiveness threshold, adjusting the communication interference strategy;

[0170] If it is greater than the preset interference effectiveness threshold, communication interference is implemented according to the communication interference strategy.

[0171] It should be noted that the communication interference effectiveness index is compared with the preset interference effectiveness standard index to obtain the interference effectiveness relative value. For example, the obtained communication interference effectiveness index is 80, and the interference effectiveness standard index is 100, then 80 / 100=0.8 is the interference effectiveness relative value, and the interference effectiveness relative value is compared with the preset interference effectiveness threshold. In this embodiment, the interference effectiveness threshold is set to (0, 0.85], (0.85, 1]. For example, if the obtained interference effectiveness relative value is 0.8, it means that the interference effectiveness is insufficient and the interference strategy needs to be adjusted; if the obtained interference effectiveness relative value is 0.95, it means that the interference effect is good, and the communication interference continues to be implemented according to the communication interference strategy.

[0172] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0173] Get the signal information corresponding to the signal receiving device and extract the RSSI value;

[0174] Acquire signal type characteristic data of the communication signal, and query the corresponding path loss coefficient according to the signal type characteristic data;

[0175] The RSSI value and the path loss coefficient are input into a preset signal transmission distance evaluation model for processing to obtain first predicted distance data from the signal receiving device to the enemy communication signal source.

[0176] It should be noted that by monitoring the enemy's communication signal, the distance from the enemy's signal source to the signal receiving device can be estimated. According to the distance, the interference strategy can be adjusted in a targeted manner to further improve the interference effectiveness. First, the signal information corresponding to the signal receiving device is obtained, and the RSSI value is extracted. RSSI is the received signal strength indicator, which is a measurement unit used to represent the strength of the received electromagnetic wave signal, and measures the signal strength received by the device from the base station or other transmitting point. The larger the RSSI value, the stronger the signal received by the device. Then, the corresponding path loss coefficient is queried according to the signal type characteristic data of the communication signal, and the RSSI value and the path loss coefficient are input into the preset signal transmission distance evaluation model for processing to obtain the first predicted distance data from the signal receiving device to the enemy's communication signal source, wherein the preset signal transmission distance evaluation model is obtained by obtaining the RSSI values ​​and path loss coefficients of a large number of historical samples and the corresponding predicted distance data for training.

[0177] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0178] Obtain environmental characteristic data within the preset range of the signal receiving device, including real-time temperature, precipitation data and real-time wind speed;

[0179] Processing the real-time temperature, precipitation data and real-time wind speed to obtain a prediction distance correction factor;

[0180] Correcting the first predicted distance data according to the predicted distance correction factor to obtain second predicted distance data;

[0181] The communication interference strategy is modified according to the second predicted distance data.

[0182] It should be noted that the attenuation of the signal transmission process is affected by many factors. In this embodiment, the impact of real-time weather on signal strength attenuation is analyzed, and environmental characteristic data including real-time temperature, precipitation data and real-time wind speed are obtained and processed to obtain the predicted distance correction factor;

[0183] The calculation formula of the predicted distance correction factor is:

[0184] ;

[0185] in, is the prediction distance correction factor, , , They are real-time temperature, precipitation data and real-time wind speed, , , The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0186] Then, the acquired first predicted distance data is corrected to obtain second predicted distance data;

[0187] The second prediction distance data calculation formula is:

[0188] ;

[0189] in, is the second predicted distance data, , are the predicted distance correction factor and the first predicted distance data respectively, The preset characteristic coefficient is obtained by querying the preset enemy communication interference platform.

[0190] Finally, the interference strategy is further modified and adjusted based on the second predicted distance data obtained, such as changing the location of the interference device, the interference intensity, etc.

[0191] A third aspect of the present invention provides a readable storage medium, which stores a program for a method for interfering with enemy communications based on large model technology. When the program for the method for interfering with enemy communications based on large model technology is executed by a processor, the steps of the method for interfering with enemy communications based on large model technology as described in any one of the above items are implemented.

[0192] The method, system and medium for jamming enemy communications based on large model technology disclosed in the present invention obtain corresponding jamming strategies based on enemy communication signals and analyze the jamming effectiveness, thereby improving the pertinence of communication jamming and realizing real-time evaluation of jamming effects and dynamic adjustment of jamming strategies.

[0193] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0194] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0195] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0196] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0197] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for jamming enemy communications based on large model technology, characterized in that: The following steps are involved: S11, obtaining enemy communication signal information, extracting communication signal data, and processing it to obtain a communication jamming strategy; S12, performing communication interference on the enemy communication signal according to the communication interference strategy; S13, obtaining enemy communication signal change information, and extracting communication signal change data, including communication stability evaluation data, communication performance change data, and enemy response evaluation data; S14, processing the communication stability evaluation data, the communication performance change data, and the enemy reaction evaluation data respectively to obtain a communication signal change index, a communication performance change index, and an enemy reaction evaluation index; S15, performing processing according to the communication signal change index, the communication performance change index and the enemy reaction evaluation index to obtain a communication interference effectiveness index; S16, comparing the communication interference effectiveness index with a preset communication interference effectiveness threshold, and adjusting the communication interference strategy according to the comparison result; The communication stability evaluation data includes communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data; The communication performance change data includes signal strength weakening rate, bit error rate and transmission rate attenuation rate; The enemy response assessment data includes the value of the signal frequency adjustment times, the anti-interference response rate and the communication strategy change rate within a preset time period; The step S14 comprises: Inputting the communication interruption duration data, communication interruption frequency, communication delay data and communication reconnection duration data into a preset communication signal change evaluation model for processing to obtain a communication signal change index; Inputting the signal strength weakening rate, bit error rate and transmission rate attenuation rate into a preset communication performance change evaluation model for processing to obtain a communication performance change index; Inputting the signal frequency adjustment times, anti-interference response rate and communication strategy change rate into a preset enemy reaction evaluation model for processing to obtain an enemy reaction evaluation index; The step S15 comprises: Inputting the communication signal variation index, the communication performance variation index and the enemy reaction evaluation index into a preset communication interference effectiveness evaluation model for processing to obtain a communication interference effectiveness index; The communication interference effectiveness index calculation formula is: ； in, is the communication interference effectiveness index, , , They are the communication signal change index, communication performance change index and enemy reaction evaluation index, , is the preset characteristic coefficient; The communication signal variation index calculation formula is: ； in, is the communication signal variation index, , , , They are communication interruption duration data, communication interruption frequency data, communication delay data and communication reconnection duration data. , is the preset characteristic coefficient; The communication performance change index calculation formula is: ； in, is the communication performance variation index, , , are the signal strength weakening rate, bit error rate and transmission rate attenuation rate respectively. , , is the preset characteristic coefficient; The enemy reaction evaluation index calculation formula is: ； in, is the enemy reaction evaluation index, , , are the signal frequency adjustment times, anti-interference response rate and communication strategy change rate, respectively. , , is the preset characteristic coefficient.

2. The method for jamming enemy communications based on large model technology according to claim 1 is characterized in that: The obtaining of enemy communication signal information, extracting communication signal data, and processing the data to obtain a communication interference strategy includes: Obtain enemy communication signal information and extract communication signal data, including signal frequency, bandwidth data, modulation method characteristic data, and coding method characteristic data; Based on a preset communication interference strategy library, the signal frequency, bandwidth data, modulation mode characteristic data and coding mode characteristic data are matched and analyzed to generate a corresponding communication interference strategy.

3. The method for jamming enemy communications based on large model technology according to claim 1 is characterized in that: The comparing the communication interference effectiveness index with a preset communication interference effectiveness threshold, and adjusting the communication interference strategy according to the comparison result, includes: Comparing the communication interference effectiveness index with a preset interference effectiveness standard index to obtain an interference effectiveness relative value; Performing a threshold comparison between the interference effectiveness relative value and a preset interference effectiveness threshold; If it is less than or equal to a preset interference effectiveness threshold, adjusting the communication interference strategy; If it is greater than the preset interference effectiveness threshold, communication interference is implemented according to the communication interference strategy.

4. An enemy communication jamming system based on large model technology, characterized in that: It includes a memory and a processor, wherein the memory includes a program of a method for jamming enemy communications based on large model technology, and when the program of the method for jamming enemy communications based on large model technology is executed by the processor, the method for jamming enemy communications as described in any one of claims 1 to 3 is implemented.

5. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an anti-enemy communication jamming program based on the large model technology. When the anti-enemy communication jamming program based on the large model technology is executed by the processor, the steps of the anti-enemy communication jamming method based on the large model technology as described in any one of claims 1 to 3 are implemented.

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