A Distributed Target Allocation Algorithm for UAV Swarm Confrontation

Most traditional unmanned aerial vehicle (UAV) countermeasures algorithms use centralized task allocation algorithm for target matching and optimization in static environment with limited aircraft units. It is questionable for the dynamic confrontation task of large-scale swarm. In order to solve the task allocation problem of UAV swarm dynamic countermeasure decision making, extended CBBA algorithm (ECBBA) is proposed in this paper. This distributed target allocation algorithm can effectively improve algorithm efficiency and support UAV dynamic real-time target allocation, suitable for large-scale swarm dynamic countermeasures. Finally, simulation experiments are carried out to verify the effectiveness of the ECBBA algorithm.