Unmanned aerial vehicle swarm countering method based on swarm behavior characteristics

Abstract

The invention discloses an unmanned aerial vehicle swarm countering method based on swarm behavior characteristics. According to the method, radar and infrared information and visible light images of an unmanned aerial vehicle swarm are collected through detection and recognition equipment arranged on a mobile carrier; the spatial position of the unmanned aerial vehicle is predicted by using a multi-source information fusion method, and swarm orientation and member position detection is realized; the formation and the motion trail of the unmanned aerial vehicle swarm are analyzed by using the swarm behavior characteristics, and recognizing a swarm countering key node; generating a navigation deception signal for the key unmanned aerial vehicle, transmitting an error signal to the whole swarm through the distributed interactive network, forcing the unmanned aerial vehicle swarm to deviate from an original flight path, and achieving the countering of the unmanned aerial vehicle swarm. According to the invention, through application of behavior characteristics of the unmanned aerial vehicle swarm, a problem of insufficient capability of countering the unmanned aerial vehicle swarm is solved, threats of omnidirectional defense penetration of the unmanned aerial vehicle swarm to important economic facilities are solved, and countering of the unmanned aerial vehicle swarm is effectively realized.

Description

technical field [0001] The invention relates to the technical field of UAV defense, in particular to a UAV swarm countermeasure method based on group behavior characteristics. Background technique [0002] UAV swarms have the advantages of self-organization, strong robustness, scale flexibility, and low cost. Hierarchical confrontation provides greater strategic space and tactical options, and promotes the transformation of the traditional mode of UAV combat, but it also poses a serious threat to the implementation of important military facilities and combat missions; the existing UAV swarm countermeasures are mostly based on Aiming at the idea of ​​a single UAV to achieve countermeasures against the whole, it cannot effectively deal with the threat posed by UAV swarms; [0003] Moreover, due to the autonomous, systematic, and intelligent characteristics of UAV swarms, it is difficult for existing countermeasures to effectively deal with the swarming UAV swarms. How to use ...

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Problems solved by technology

[0005] In view of the above-mentioned existing problems, the present invention aims to provide a method for countering unmanned aerial vehicle bee colonies based on group behavior characteristics. Counter key nodes, generate navigation deception signals for key UAVs, and the wrong signals will be propagated from the distributed interactive network to...

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