Cooperative Countermeasure Strategy of Sea-Air Cross-Domain Unmanned Platforms For Saturation Attack of Suicide UAVs

LIANG Xiao; CHEN Cong; LIU Dianyong; YU Changdong; LI Wei

doi:10.11993/j.issn.2096-3920.2024-0007

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LIANG Xiao, CHEN Cong, LIU Dianyong, YU Changdong, LI Wei. Cooperative Countermeasure Strategy of Sea-Air Cross-Domain Unmanned Platforms For Saturation Attack of Suicide UAVs[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2024-0007

Citation:

LIANG Xiao, CHEN Cong, LIU Dianyong, YU Changdong, LI Wei. Cooperative Countermeasure Strategy of Sea-Air Cross-Domain Unmanned Platforms For Saturation Attack of Suicide UAVs[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2024-0007

Citation:

LIANG Xiao, CHEN Cong, LIU Dianyong, YU Changdong, LI Wei. Cooperative Countermeasure Strategy of Sea-Air Cross-Domain Unmanned Platforms For Saturation Attack of Suicide UAVs[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2024-0007

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Cooperative Countermeasure Strategy of Sea-Air Cross-Domain Unmanned Platforms For Saturation Attack of Suicide UAVs

doi: 10.11993/j.issn.2096-3920.2024-0007

1.
Naval Architecture and Ocean Engineering College, DaLian Maritime University, Dalian 116026, China
2.
College of Artificial Intelligence, Dalian Maritime University, Dalian 116026, China
3.
College of Environmental Sciences and Engineering, Dalian Maritime University, Dalian 116026, China

Received Date: 2024-01-17
Accepted Date: 2024-03-12
Rev Recd Date: 2024-03-08

Available Online: 2024-03-25

Abstract

Abstract

Aiming at the problem of anti-suicide unmanned aerial vehicle saturation attacks in the marine environment, this paper studies the cooperative countermeasure strategy of sea and air cross-domain unmanned platforms under the condition that the number of targets far exceeds ours, and proposes a cooperative algorithm combining improved genetic algorithm and coalition formation game. Firstly, according to the sea-air cross-domain unmanned platform's attack characteristics and motion characteristics, the cost function is designed by combining the maximum and minimum strategies. Then, the genetic algorithm is improved according to the task requirements, the crossover and mutation processes are guided and restricted, and a feasible countermeasure scheme is generated based on improving the efficiency of the genetic algorithm. Finally, the coalition formation rules are designed, and the coalitions reach Nash stability through changing members between the coalitions. The countermeasure scheme can still be continuously and stably optimized for many operators. Simulation comparison experiments show that the proposed strategy is feasible and superior and can provide a reasonable and efficient countermeasure scheme when the target is subjected to a saturation attack. This can provide a reference for large-scale cross-domain unmanned swarm combat research.
- sea and air cross-domain,
- suicide unmanned aerial vehicle,
- target allocation,
- genetic algorithm,
- coalition formation game

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References(15)

References

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