Unmanned aerial vehicle bee colony countering method based on swarm cooperation information

Abstract

The invention discloses an unmanned aerial vehicle bee colony countering method based on swarm cooperation information. The method comprises the following steps: step 1, detection and early warning; step 2, tracking and positioning; step 3, judging whether countering is carried out or not; step 4, countering a bee colony target; and step 5, determining a countering effect. Aiming at an unmanned aerial vehicle bee colony for realizing autonomous navigation and swarm cooperation based on sonar information / visual information perception, the method adopts a sound wave attack and strong light interference mode to effectively destroy the autonomous navigation capability of part of unmanned aerial vehicles and the distributed cooperation capability with adjacent unmanned aerial vehicles, so that the unmanned aerial vehicles cannot acquire navigation positioning information and position information of the adjacent unmanned aerial vehicles in the sound wave attack and strong light interference range, the expected formation of a bee colony is difficult to maintain, effective countering of the unmanned aerial vehicle bee colony is further achieved, and the method has the advantages of being high in attack angle and aiming position precision and high in attack efficiency and countering success rate.

Description

technical field [0001] The invention relates to the technical field of UAV countermeasures, in particular to a UAV swarm countermeasure method based on group collaborative information. Background technique [0002] In recent years, the distributed UAV swarm technology based on group coordination has developed rapidly. While being widely used in civilian and military fields, some illegally flying UAV swarms have caused serious damage to various important facilities and key targets. a major security threat; [0003] Existing UAV countermeasures mainly include hard countermeasures and soft countermeasures. Hard countermeasures include fire interception, laser attack, microwave countermeasures, and curtain interception. Damage is difficult to control and other issues; soft countermeasures include signal suppression and interference, data link control and navigation deception, etc., and there are shortcomings such as low interference success rate and strict requirements for dete...

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Problems solved by technology

[0003] Existing UAV countermeasures mainly include hard countermeasures and soft countermeasures. Hard countermeasures include fire interception, laser attack, microwave countermeasures, and curtain interception. Damage is difficult to control and other issues; soft countermeasures include signal suppression and interference, data link control and navigation deception, etc., and there are shortcomings such as low interference success rate and strict requirements for detection equipment. Swarms have good results, but only for drone swarms that rely on satellite navigation;

[0004] With breakthroughs and innovations in cutting-edge scientific and technological fields such as detection, sensing, and communication technologies, many countries have successively launched UAV bee colony projects based on sonar information / visual information collaboration. The autonomous navigation and intelligent coordination of equipment such as visual sensors, acoustic sensors, and laser rangefinders has brought new challenges to the defense of important facilities and drone swarm countermeasures, resulting in hard countermeasures and soft countermeasures as described above. The control technology cannot fundamentally solve the countermeasures of such UAV swarms based on sonar information / visual information coordination (there is no GNSS navigation signal, and the UAV swarms through sonar information / visual information perception coordination) countermeasures cannot be effectively completed. Interception of such drone swarms

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