摘要
多无人机协同对组网雷达系统进行航迹欺骗干扰属于大规模优化问题,通常需要利用群体智能算法优化无人机的飞行任务。针对采用标准粒子群算法优化时出现的求解效率低下的问题,提出了一种基于改进粒子群优化算法的多无人机协同欺骗干扰技术。首先建立了多无人机协同欺骗干扰组网雷达的数学模型以及对应的优化函数。其次阐述了利用改进粒子群优化算法求解多机协同干扰模型的步骤。最后通过仿真实验对比了改进粒子群优化算法和标准粒子群优化算法在优化求解多机协同干扰模型的差异性。
Track deception jamming against netted radar system by using multi-unmanned aerial vehicle(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 optimization algorithm.Firstly,the mathematical model of multi-UAV cooperative deception jamming against 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 optimizing the multi-UAV cooperative deception jamming model is compared through simulation experiments.
作者
刘宇蕊
陈云阳
余鑫
LIU Yurui;CHEN Yunyang;YU Xin(The 723 Institute of CSSC,Yangzhou 225101,China)
出处
《舰船电子对抗》
2024年第1期72-76,共5页
Shipboard Electronic Countermeasure
关键词
改进粒子群优化算法
多无人机协同
航迹欺骗干扰
组网雷达
improved particle swarm optimization algorithm
multi-unmanned aerial vehicle cooperation
track deception jamming
netted radar
