Multi-UAV Cooperative Deception Jamming Technology Based on Improved Particle Swarm Optimization Algorithm
Track deception jamming against netted radar system by using multi-unmanned aerial ve-hicle(UAV)cooperation is a large-scale optimization problem.It is usually necessary to use swarm intelligence algorithm to optimize the flight tasks of UAVs.Aiming at the problem of low solution efficiency when using standard particle swarm optimization algorithm,this paper proposes a multi-UAV cooperative deception jamming technology based on the improved particle swarm optimiza-tion algorithm.Firstly,the mathematical model of multi-UAV cooperative deception jamming a-gainst netted radar and the corresponding optimization function are established.Secondly,the steps of using the improved particle swarm optimization algorithm to solve the multi-UAV cooperative deception jamming model are described.Finally,the difference between the improved particle swarm optimization algorithm and the standard particle swarm optimization algorithm in optimi-zing the multi-UAV cooperative deception jamming model is compared through simulation experi-ments.
万方数据
维普
