CN-122027071-A - Low-altitude electronic counterreconnaissance and countercheck method and system

Abstract

The invention provides a low-altitude electronic countermeasure reconnaissance and countermeasures method and system, which are used for capturing low-altitude global dynamic electronic signal track flow, comprising a plurality of characteristics such as a propagation path dynamic track and the like, then calling a pre-training model to carry out cross-domain track evolution modeling to generate an environment self-adaptive dynamic track evolution characterization, then executing ternary symbiotic mapping processing based on the environment self-adaptive dynamic track evolution characterization to construct a ternary symbiotic association model, generating a plurality of groups of differential initial countermeasures signal sets through the ternary symbiotic association model, carrying out multidimensional collaborative feedback iteration processing on the differential initial countermeasures signal sets, the electronic signal track flow and low-altitude environment interference characteristics, and finally optimizing countermeasures signal generation logic and model parameters according to processing results to output accurate countermeasures signal execution instructions adapting to dynamic low-altitude electronic countermeasure scenes. The invention can effectively cope with complex low-altitude environment and improve the electronic anti-reconnaissance and countercheck capability.

Inventors

• LI YIFAN
• YANG XU

Assignees

• 戎御科技(太仓)有限公司

Dates

Publication Date

20260512

Application Date

20260203

Claims (10)

1. 1. A method of low-altitude electronic counterreconnaissance and countering, the method comprising: capturing a low-altitude global dynamic electronic signal track flow, wherein the electronic signal track flow comprises a propagation path dynamic track of an electronic signal, a signal inherent attribute characteristic, a signal interaction correlation characteristic and a low-altitude environment interference characteristic; calling a pre-trained track environment symbiotic intelligent model to carry out cross-domain track evolution modeling on the electronic signal track flow, and generating an environment self-adaptive dynamic track evolution representation; Performing ternary symbiotic mapping processing on the signal source reaction signal environment characteristics based on the environment self-adaptive dynamic track evolution characterization, and constructing a ternary symbiotic association model of the signal source characteristics, the reaction signal characteristics and the environment interference characteristics; Generating a plurality of groups of differential initial reaction signal sets through the ternary symbiotic association model, and carrying out multidimensional collaborative feedback iterative processing on the plurality of groups of differential initial reaction signal sets, the electronic signal track flow and the low-altitude environment interference characteristics; And optimizing the counter signal generation logic and the ternary symbiotic association model parameters according to the multidimensional collaborative feedback iteration processing result, and outputting a precise counter signal execution instruction adapting to the dynamic low-altitude electronic countermeasure scene.
2. 2. The method of low-altitude electronic counterreconnaissance and countermeasures according to claim 1, wherein the performing a signal source countering signal environment feature ternary symbiotic mapping process based on the environment-adaptive dynamic trajectory evolution characterization, constructing a ternary symbiotic association model of a signal source feature, a countering signal feature and an environment interference feature, comprises: Analyzing signal source track characteristics, signal source attribute characteristics and environment interference characteristics in the environment self-adaptive dynamic track evolution characterization, generating a signal source environment comprehensive characteristic set, and calling a preset inverse signal basic characteristic library to extract inverse signal core characteristics; inputting the comprehensive feature set of the signal source environment and the core feature of the reverse signal into a feature alignment layer of the ternary symbiotic mapping intelligent model, and performing dimension unified processing to generate a same-dimension feature set; performing ternary association weight calculation on the signal source characteristics, the inverse signal characteristics and the environment interference characteristics in the same-dimensional characteristic set by using a model association modeling unit to generate ternary feature association weight configuration; constructing a forward mapping path, a reverse feedback path and a bidirectional regulating path based on weight configuration, and integrating to form an initial model containing ternary characteristic bidirectional flow logic and an environment dynamic regulating mechanism; And optimizing the association precision of the initial model by a model calibration unit, introducing the dynamic change characteristics of the environment to carry out parameter adjustment, and completing the construction of the ternary symbiotic association model.
3. 3. The method for low-altitude electronic counterreconnaissance and countermeasures according to claim 2, wherein the performing ternary correlation weight calculation on the signal source feature, the countermeasures signal feature and the environmental interference feature in the same-dimensional feature set by using the model correlation modeling unit to generate a ternary feature correlation weight configuration comprises: Separating a signal source feature vector, a reverse signal feature vector and an environment interference feature vector from the same-dimensional feature set, and respectively calculating a relevance value between the signal source feature vector and a feature component in the reverse signal feature vector, a relevance value between the signal source feature vector and a feature component in the environment interference feature vector and a relevance value between the reverse signal feature vector and a feature component in the environment interference feature vector; Determining an initial forward correlation weight between the signal source feature component and the counter-generated signal feature component based on a correlation value between the signal source feature vector and the counter-generated signal feature vector, determining an initial ambient signal source correlation weight between the ambient interference feature component and the signal source feature component based on a correlation value between the signal source feature vector and the ambient interference feature vector, and determining an initial ambient counter-generated correlation weight between the ambient interference feature component and the counter-generated signal feature component based on a correlation value between the counter-generated signal feature vector and the ambient interference feature vector; The model weight adjusting unit is called, the initial forward association weight, the initial environment signal source association weight and the initial environment inverse association weight are dynamically adjusted by combining the environment coupling interaction association strength characteristics in the environment self-adaptive dynamic track evolution characterization, and the association confidence coefficient among all characteristic components after adjustment is calculated; Feature component association pairs with association confidence reaching the association reliability standard are reserved, and feature component association pairs with association confidence not reaching the association reliability standard are removed; And arranging the adjusted association weights of the remaining feature component association pairs in a three-dimensional configuration form, and performing row weight equalization processing, column weight equalization processing and layer weight equalization processing to generate a ternary feature association weight configuration.
4. 4. The method for low-altitude electronic counterreconnaissance and countering according to claim 2, wherein the optimizing the initial model association accuracy by the model calibration unit, introducing the environmental dynamic change feature to perform parameter adjustment, and completing the ternary symbiotic association model construction comprises: A calibration sample set containing historical signal source characteristics, historical countering signal characteristics, historical environment interference characteristics and corresponding standard association relations is called, and the historical signal source characteristics, the historical countering signal characteristics and the historical environment interference characteristics are input into an initial ternary symbiotic association model; Outputting a predicted association relation corresponding to the calibration sample through the initial model, comparing the predicted association relation with a standard association relation, and extracting association deviation features between the predicted association relation and the standard association relation; Calculating the bias contribution degree of a forward mapping path, a reverse feedback path and a bidirectional regulating path based on the associated bias characteristics, and determining the type and the regulating amplitude of the model parameters to be regulated; Performing calibration adjustment on the corresponding model parameters according to the determined adjustment amplitude, and inputting the adjusted model into the calibration sample set again to generate a new prediction association relation; And comparing the new predicted association relationship with the standard association relationship, calculating the association precision lifting amplitude, repeating the parameter adjustment and verification steps until the association precision lifting amplitude meets the preset calibration standard, and recording the finally calibrated model parameters.
5. 5. The method for low-altitude electronic counterreconnaissance and countermeasures according to claim 1, wherein generating a plurality of sets of differential initial countermeasures signal sets by the ternary symbiotic correlation model, and performing multidimensional collaborative feedback iterative processing on the plurality of sets of differential initial countermeasures signal sets, the electronic signal track flow and low-altitude environment interference characteristics, comprises: Setting a plurality of groups of differentiated environment adaptation parameters based on ternary characteristic association weight configuration, respectively inputting a signal source environment comprehensive characteristic set into model forward mapping paths corresponding to different environment adaptation parameters, generating a plurality of groups of differentiated reverse signal characteristic vectors and constructing an initial reverse signal set; Extracting propagation characteristics, interaction characteristics and environment adaptation characteristics of each set in a plurality of groups of differential initial reaction signal sets, extracting propagation characteristics, interaction characteristics and signal source characteristics of corresponding electronic signals in the electronic signal track flow, and extracting dynamic change parameters and interference response characteristics in low-altitude environment interference characteristics; Inputting the propagation characteristics, interaction characteristics and environment adaptation characteristics of the counter signal and the propagation characteristics, interaction characteristics, signal source characteristics and dynamic change parameters and interference response characteristics in the low-altitude environment interference characteristics of the electronic signal into a collaborative feedback intelligent model, and simulating the actual counter interaction process of the counter signal, the electronic signal and the low-altitude environment through a ternary interaction simulation unit to generate a signal characteristic change track, an environment response change track and an interaction effect characteristic; Based on the interaction effect characteristics, determining the adaptation difference characteristics of each set in the multiple sets of differential initial reaction signal sets, the track flow of the electronic signal and the environmental interference characteristics, inputting the adaptation difference characteristics into a model reverse feedback path, and adjusting model mapping parameters and environmental adjustment parameters; Generating a first round of optimized counter signal set based on the adjusted model, repeating the steps of interactive simulation, difference extraction, parameter adjustment and signal generation, updating the low-altitude environment interference characteristic in real time and synchronously adjusting the model environment adjustment path parameter.
6. 6. The method of low-altitude electronic countermeasure reconnaissance and countering according to claim 5, wherein the simulating of the actual countermeasure interaction process of the countering signal, the electronic signal and the low-altitude environment by the ternary interaction simulation unit includes: constructing a dynamic simulation countermeasure environment with initial parameters set based on actual scene characteristics and supporting real-time dynamic update; Inputting the counter signal, the corresponding electronic signal and the real-time low-altitude environment interference characteristic into a dynamic simulation countermeasure environment, and setting an initial trigger condition of signal environment interaction; recording amplitude change, phase change, frequency change and bandwidth change of the counter signal and the electronic signal under the initial trigger condition and the dynamic environment, and tracking the propagation path deviation condition of the counter signal and the electronic signal and the influence of environmental interference on a propagation path; recording parameter changes, interference intensity changes and environment response behaviors of the low-altitude environment in the signal interaction process, and calculating energy exchange quantity, interference offset quantity and environment absorption quantity in the signal interaction process; and extracting key change nodes in the signal characteristic change track and the environment response change track, analyzing the signal state, the environment state and the coupling state of the key change nodes, and integrating to generate the interactive effect characteristic.
7. 7. The method of claim 5, wherein determining adaptive difference features of each of a plurality of sets of differential initial reaction signal sets with electronic signal track flow and environmental interference features based on the interaction effect features comprises: invoking a preset adaptation evaluation feature set comprising signal matching features, environment adaptation features and interaction performance features; Performing association comparison on the interaction effect features and the adaptation evaluation feature sets, extracting feature components corresponding to the signal matching features, the environment adaptation features and the interaction efficiency features from the interaction effect features, and calculating the deviation value of each corresponding feature component and the standard feature component; dividing the deviation grade and the corresponding deviation range according to the deviation value distribution condition, and determining the difference dimension of each set in the multiple groups of differential initial reaction signal sets in the aspects of signal matching, environment adaptation and interaction efficiency; integrating the deviation value and the deviation range corresponding to each difference dimension to generate adaptive difference characteristics of each set in a plurality of groups of differential initial reaction signal sets, and the adaptive difference characteristics of the electronic signal track flow and the environmental interference characteristics; and performing feature coding processing on the adaptive difference feature to generate a standardized adaptive difference feature vector.
8. 8. The method of claim 5, wherein generating a first set of optimized counter-control signals based on the adjusted model, repeating the interactive simulation, the difference extraction, the parameter adjustment, and the signal generation steps, updating the low-altitude environmental interference characteristics in real time, and synchronously adjusting the model environmental adjustment path parameters, comprises: setting an environment characteristic updating period, and continuously capturing real-time interference data of a low-altitude environment according to the updating period; Extracting newly added interference types, interference intensity changes and environmental parameter drift characteristics based on real-time interference data, and performing characteristic fusion with the original low-altitude environmental interference characteristics to generate updated low-altitude environmental interference characteristics; Analyzing the change difference between the updated environmental interference characteristic and the original low-altitude environmental interference characteristic, and determining the adjustment direction of the environmental adjustment path parameter in the model based on the change difference; invoking a parameter adjustment algorithm, calculating the adjustment quantity of the environment adjustment path parameters according to the change difference, and updating the environment adjustment path parameters in the model in real time according to the adjustment quantity; the updated environment adjustment path parameters are applied to the generation process of the reaction signals, the adaptation state of the updated reaction signals and the dynamic environment is monitored, and the environment characteristic update period and the parameter adjustment algorithm are optimized.
9. 9. The low-altitude electronic counterreconnaissance and countering method of claim 1, wherein optimizing countering signal generation logic and ternary symbiotic association model parameters according to the multi-dimensional collaborative feedback iterative process result comprises: Collecting adaptive difference characteristics, optimized reaction signal characteristics, interaction effect characteristics and environment response change tracks of a plurality of groups of differential initial reaction signal sets in a multi-round iteration process, and performing time sequence association analysis and inter-group comparison analysis; Identifying a key optimization direction and an optimal counter signal set screening standard in the counter signal generation process based on an analysis result, and calling a logic optimization intelligent model to generate an adjustment scheme of counter signal generation logic; modifying a generation parameter selection rule, feature mapping logic, an environment adaptation parameter dynamic adjustment mechanism and a signal structure construction mode of the counter signal according to an adjustment scheme; Inputting the optimized generation logic into a ternary symbiotic association model, and synchronously updating ternary feature association weight configuration and dynamic adjustment parameters of the model to generate a plurality of groups of final candidate reaction signal sets; And screening a final reaction signal set with optimal suitability and optimal interaction effect from a plurality of groups of final candidate reaction signal sets according to screening criteria, constructing a complete accurate reaction signal, converting the complete accurate reaction signal into a standardized control code, combining the standardized control code into an accurate reaction signal, executing an instruction and finishing verification.
10. 10. A low-altitude electronic counterreconnaissance and countering system, comprising a processor and a memory, the memory being coupled to the processor, the memory for storing programs, instructions or code, the processor for executing the programs, instructions or code in the memory to implement the low-altitude electronic counterreconnaissance and countering method of any of claims 1-9.

Description

Low-altitude electronic counterreconnaissance and countercheck method and system Technical Field The invention relates to the field of artificial intelligence, in particular to a low-altitude electronic counterreconnaissance and countering method and system. Background In the field of low-altitude electronic countermeasure, with the rapid development of electronic technology, electronic signals in a low-altitude environment are increasingly complex and various. Various electronic signals are continuously transmitted and received by low-altitude aircrafts, ground electronic equipment and the like, and are interfered by low-altitude complex environments in the propagation process, and the signals are influenced by various factors including topography, meteorological conditions, electromagnetic interference sources and the like, so that the propagation paths, signal properties and the like of the electronic signals are dynamically changed. The traditional electronic counterreconnaissance and countermeasures method can only process static or simple dynamic electronic signals, so that the track flow of the low-altitude global dynamic electronic signals is difficult to capture accurately, and the information of the propagation path dynamic track, the inherent attribute characteristics of the signals, the interactive correlation characteristics of the signals, the interference characteristics of the low-altitude environment and other aspects of the electronic signals cannot be considered comprehensively. Meanwhile, for a low-altitude environment with dynamic change, the traditional method lacks an effective cross-domain track evolution modeling means, cannot generate an environment self-adaptive dynamic track evolution representation, further is difficult to construct a ternary symbiotic association model of a signal source characteristic, a counter signal characteristic and an environment interference characteristic, and causes that the generation of the counter signal lacks pertinence and adaptability, and cannot effectively cope with complex and changeable low-altitude electronic countermeasure scenes. Disclosure of Invention In view of the above-mentioned problems, in combination with the first aspect of the present invention, an embodiment of the present invention provides a low-altitude electronic counterreconnaissance and countermeasures method, which includes: capturing a low-altitude global dynamic electronic signal track flow, wherein the electronic signal track flow comprises a propagation path dynamic track of an electronic signal, a signal inherent attribute characteristic, a signal interaction correlation characteristic and a low-altitude environment interference characteristic; calling a pre-trained track environment symbiotic intelligent model to carry out cross-domain track evolution modeling on the electronic signal track flow, and generating an environment self-adaptive dynamic track evolution representation; Performing ternary symbiotic mapping processing on the signal source reaction signal environment characteristics based on the environment self-adaptive dynamic track evolution characterization, and constructing a ternary symbiotic association model of the signal source characteristics, the reaction signal characteristics and the environment interference characteristics; Generating a plurality of groups of differential initial reaction signal sets through the ternary symbiotic association model, and carrying out multidimensional collaborative feedback iterative processing on the plurality of groups of differential initial reaction signal sets, the electronic signal track flow and the low-altitude environment interference characteristics; And optimizing the counter signal generation logic and the ternary symbiotic association model parameters according to the multidimensional collaborative feedback iteration processing result, and outputting a precise counter signal execution instruction adapting to the dynamic low-altitude electronic countermeasure scene. In yet another aspect, an embodiment of the present invention further provides a low-altitude electronic anti-scout and countering system, including a processor, a machine-readable storage medium, where the machine-readable storage medium is connected to the processor, and the machine-readable storage medium is used to store a program, an instruction, or a code, and the processor is used to execute the program, the instruction, or the code in the machine-readable storage medium, so as to implement the method described above. Based on the above aspects, the embodiment of the invention comprehensively integrates multidimensional characteristic information of the electronic signals by capturing the track flow of the low-altitude global dynamic electronic signals, calls the pre-trained track environment symbiotic intelligent model to carry out cross-domain track evolution modeling, can generate environment self-adaptive dynamic track evolution