Search

CN-121984638-A - Multi-domain cooperative anti-interference method, device, medium and equipment

CN121984638ACN 121984638 ACN121984638 ACN 121984638ACN-121984638-A

Abstract

The application discloses a multi-domain collaborative anti-interference method, a device, a medium and equipment, and relates to the technical field of communication. According to the application, a dynamic interference spectrum is generated through the collection of multi-domain signal data and multi-mode sensing data, on one hand, independent execution of single dimension is avoided, on the other hand, static characteristic parameter limitation is avoided, dynamic behavior characteristics of fine granularity are fused, the effectiveness of interference identification is improved, the weight of each suppression item is dynamically adjusted to generate an interference strategy through accurate identification of the interference type, dependence on a large amount of training data is avoided, the response efficiency of an anti-interference system is improved, a plurality of suppression items are subdivided, the tendency of suppression is adjusted through the weight of the suppression item, different actual interference types can be more agreeable, the anti-interference effect is improved, and finally, the rapid and accurate anti-interference can be realized according to the strategy execution action.

Inventors

  • LONG QIANG
  • SUN GUOLIANG
  • XIANG JUN
  • SHAN HAO
  • WANG YAJIE
  • PENG JIFA

Assignees

  • 四川航天烽火伺服控制技术有限公司

Dates

Publication Date
20260505
Application Date
20260409

Claims (10)

  1. 1. The multi-domain cooperative anti-interference method is characterized by comprising the following steps of: generating a dynamic interference spectrum based on the multi-domain signal data and the multi-mode sensing data; Performing interference identification based on the fingerprint vector of the dynamic interference spectrum to obtain an interference type; adjusting the weight of each inhibition item based on the interference type to obtain a target anti-interference strategy, wherein the inhibition items comprise gain, energy consumption and temperature; based on the target anti-interference strategy, executing anti-interference action to realize cooperative anti-interference.
  2. 2. The multi-domain collaborative interference-avoidance method of claim 1 wherein prior to generating a dynamic interference spectrum based on multi-domain signal data and multi-modal sensing data, the method further comprises: And extracting target features based on the polarization mutation track model and the time-energy correlation map, and constructing a multi-dimensional fingerprint vector to obtain multi-domain signal data and multi-mode sensing data, wherein the target features comprise polarization domain features, time-energy domain features, frequency domain features and airspace features.
  3. 3. The multi-domain collaborative interference-free method according to claim 2, wherein the performing interference recognition based on the fingerprint vector of the dynamic interference spectrum to obtain an interference type comprises: acquiring the target feature based on the fingerprint vector of the dynamic interference spectrum; And carrying out interference identification based on the target characteristics to obtain the interference type of blocking interference, deception interference or sweep frequency interference.
  4. 4. The multi-domain cooperative anti-interference method according to claim 2, wherein in response to the detection of resource conflict in the execution of the step of executing anti-interference actions to achieve cooperative anti-interference based on the target anti-interference policy, adjusting priorities of the multiple domains according to the interference type and sequentially applying the target anti-interference policy according to the order of the priorities.
  5. 5. The multi-domain cooperative antijamming method according to claim 1, wherein the adjusting the weight of each suppression term based on the jamming type to obtain the target antijamming strategy includes: And adjusting the weight of each inhibition item based on the interference type and the maximized utility function to obtain a target anti-interference strategy, wherein the maximized utility function is used for balancing anti-interference performance and energy consumption constraint.
  6. 6. The multi-domain collaborative interference-avoidance method according to claim 5 wherein the adjusting weights for each suppression term based on the interference type and maximizing utility function further comprises, prior to obtaining a target interference-avoidance strategy: And constructing the maximizing utility function based on the gain suppression item, the energy consumption suppression item, the temperature suppression item and the corresponding weights thereof.
  7. 7. The multi-domain collaborative interference-free method according to claim 6, wherein the adjusting weights of the suppression terms based on the interference type and the maximized utility function to obtain a target interference-free strategy comprises: Determining a target weight coefficient determining principle based on the interference type, wherein the target weight coefficient determining principle is any one of a plurality of weight coefficient determining principles, and the plurality of weight coefficient determining principles comprise a threat level priority principle, a resource consumption matching principle and a system state constraint principle; And determining the inhibition item with the highest weight value based on the target weight coefficient determination principle and the maximized utility function, and adjusting the weight of each inhibition item to obtain a target anti-interference strategy.
  8. 8. A multi-domain cooperative anti-interference device, comprising: The generation module is used for generating a dynamic interference frequency spectrum based on the multi-domain signal data and the multi-mode sensing data; The identification module is used for carrying out interference identification based on the fingerprint vector of the dynamic interference spectrum to obtain an interference type; The strategy module is used for adjusting the weight of each inhibition item based on the interference type to obtain a target anti-interference strategy, wherein the inhibition items comprise gain, energy consumption and temperature; And the execution module is used for executing anti-interference actions based on the target anti-interference strategy so as to realize cooperative anti-interference.
  9. 9. A computer readable storage medium storing a computer program, wherein the computer program when loaded and executed by a processor implements the multi-domain collaborative interference-avoidance method of any of claims 1-7.
  10. 10. An electronic device comprising a processor and a memory, wherein, The memory is used for storing a computer program; the processor is configured to load and execute the computer program to cause the electronic device to perform the multi-domain collaborative interference-free method of any of claims 1-7.

Description

Multi-domain cooperative anti-interference method, device, medium and equipment Technical Field The present application relates to the field of communications technologies, and in particular, to a multi-domain collaborative anti-interference method, device, medium, and apparatus. Background The accurate guidance and servo control system is a core component in the fields of modern manual accurate fire extinguishing, emergency rescue, unmanned aerial vehicle collaborative operation and the like. The unmanned aerial vehicle flight control system is characterized in that the unmanned aerial vehicle flight control system is an unmanned aerial vehicle electromechanical servo system or a control unit of an accurate guided fire extinguishing bomb, a controller of the unmanned aerial vehicle flight control system receives instructions of a command center or a ground station through a wireless communication link and accurately regulates and controls an actuator, and the unmanned aerial vehicle flight control system controls the actuators such as a servo motor and a steering engine through the instructions to realize take-off, hovering, gesture stabilization and track planning of the unmanned aerial vehicle. However, the existing anti-interference technology has difficulty in effectively maintaining the stable operation of the core links due to the inherent static, dependency and separability technology, so that the anti-interference effect is poor. Disclosure of Invention In summary, the main objective of the present application is to provide a multi-domain collaborative anti-interference method, device, medium and apparatus, which aims to solve the problem of poor anti-interference effect in the prior art. In order to achieve the above object, the technical scheme adopted by the embodiment of the application is as follows: in a first aspect, an embodiment of the present application provides a multi-domain cooperative anti-interference method, including the following steps: generating a dynamic interference spectrum based on the multi-domain signal data and the multi-mode sensing data; performing interference identification based on the fingerprint vector of the dynamic interference spectrum to obtain an interference type; Adjusting the weight of each inhibition item based on the interference type to obtain a target anti-interference strategy, wherein the inhibition items comprise gain, energy consumption and temperature; based on the target anti-interference strategy, anti-interference actions are executed to achieve cooperative anti-interference. In a possible implementation manner of the first aspect, before generating the dynamic interference spectrum based on the multi-domain signal data and the multi-mode sensing data, the method further includes: And extracting target features based on the polarization mutation track model and the time-energy correlation map, and constructing a multi-dimensional fingerprint vector to obtain multi-domain signal data and multi-mode sensing data, wherein the target features comprise polarization domain features, time-energy domain features, frequency domain features and airspace features. In a possible implementation manner of the first aspect, performing interference identification based on a fingerprint vector of a dynamic interference spectrum to obtain an interference type includes: Based on the fingerprint vector of the dynamic interference spectrum, obtaining target characteristics; and carrying out interference identification based on the target characteristics to obtain the interference type of blocking interference, deception interference or sweep interference. In one possible implementation manner of the first aspect, in response to detecting a resource conflict in the step execution of executing the anti-interference action to achieve cooperative anti-interference based on the target anti-interference policy, the priority of the multiple domains is adjusted according to the interference type and the target anti-interference policy is sequentially applied according to the order of the priority. In a possible implementation manner of the first aspect, adjusting weights of the suppression terms based on the interference type to obtain the target anti-interference policy includes: and adjusting the weight of each inhibition item based on the interference type and the maximized utility function to obtain a target anti-interference strategy, wherein the maximized utility function is used for balancing anti-interference performance and energy consumption constraint. In a possible implementation manner of the first aspect, before the obtaining the target anti-interference policy, the method further includes: And constructing a maximized utility function based on the gain suppression item, the energy consumption suppression item, the temperature suppression item and the corresponding weights thereof. In one possible implementation manner of the first aspect, adjusting weights o