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

Abstract

In view of saturation attacks of anti-suicide unmanned aerial vehicles(UAVs) in the marine environment, this paper studied the cooperative countermeasure strategy of sea-air cross-domain unmanned platforms under the condition that the number of targets far exceeded ours and proposed a cooperative algorithm combining improved genetic algorithm and coalition formation game. Firstly, according to the attack and motion characteristics of the sea-air cross-domain unmanned platform, the cost function was designed by combining the maximum and minimum strategies. Then, the genetic algorithm was improved according to the task requirements, and the crossover and mutation processes were guided and restricted. A feasible countermeasure scheme was generated by improving the efficiency of the genetic algorithm. Finally, the coalition formation rules were designed, and the coalitions reached Nash stability via changing members between the coalitions. The countermeasure scheme could still be continuously and stably optimized for many operators. The 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 research on large-scale cross-domain unmanned swarm combat.

Keywords

• sea-air cross-domain
• suicide unmanned aerial vehicle
• genetic algorithm
• coalition formation game