Unmanned aerial vehicle swarm countering method based on swarm system structure

Abstract

The invention discloses an unmanned aerial vehicle swarm countering method based on a swarm system structure. The method comprises the following steps: 1 acquiring swarm state information; 2 judging the structure of the swarm system; 3 setting a key unmanned aerial vehicle which can be countered; 4 performing a navigation decoy signal effect; and 5 determining a countering effect. According to the method, swarm system structures are classified by analyzing swarm space distribution and motion trail features, corresponding key unmanned aerial vehicles which can be countered are selected for different system structures, overall countering of the unmanned aerial vehicle swarm is achieved by utilizing swarm distributed system structure features and trapping a part of the unmanned aerial vehicles through navigation, the whole is driven by the local, the distributed unmanned aerial vehicle swarm countering cost-effectiveness ratio is effectively improved, and the countering method has the advantages of being good in countering effect and high in countering cost-effectiveness ratio.

Description

technical field [0001] The invention relates to the technical field of countering unmanned aerial vehicle bee swarms, in particular to a method for countering unmanned aerial vehicle bee colonies based on a swarm architecture. Background technique [0002] As an important research direction in the field of artificial intelligence, distributed UAV swarms have extensive application value and important development prospects in different fields such as agricultural plant protection, communication relay, emergency rescue, coordinated investigation, and cluster strikes; UAV swarms While serving the economy, people's livelihood and military defense, various potential risks and security risks are also increasing day by day; [0003] The existing UAV countermeasures mainly include hard countermeasures and soft countermeasures. Hard countermeasures include intensive weapon interception, high-energy laser attack, high-power microwave countermeasures, and curtain-type interception; soft...

AI Technical Summary

Problems solved by technology

[0003] The existing UAV countermeasures mainly include hard countermeasures and soft countermeasures. Hard countermeasures include intensive weapon interception, high-energy laser attack, high-power microwave countermeasures, and curtain-type interception; soft countermeasures include radio interference, Data link seizure control and navigation deception, etc.; when the above methods counter the UAV swarm, they all counter the entire swarm by countering the individual UAV, which has the problem of low cost-effective countermeasures; when there is no When the number of human and machine individuals is relatively large, the countermeasure effect will be reduced due to the saturation of firepower and insufficient interference range;

[0004] In order to effectively counter UAV swarms, some key UAVs in the swarm should be selected and counteracted. With the help of the distributed architecture of the swarm, the navigation decoy signal is transmitted from some key UAVs to the entire swarm. Achieve the overall anti-bee colony effect from point to area; from the existing research results, there is no research on the UAV bee colony countermeasure method on the group architecture

Images