[关键词]
[摘要]
针对无人机对组网雷达进行航迹欺骗时无人机的飞行任务优化问题,文中提出了一种基于群体智能算法的多机协同航迹欺骗干扰技术。首先,给出了多协同对组 网雷达航迹欺骗的数学模型、约束条件以及优化函数;然后,利用三种典型的群体智能算法对多机协同航迹欺骗模型进行了优化求解;最后,通过仿真实验比较了三种群体智能算法在优化求解多机协同航迹欺骗模型上的差异性。
[Key word]
[Abstract]
Aiming at the flight task optimization problem of unmanned aerial vehicle (UAV) when multi-UAVs deceive the track of netted radar, a multi-UAV cooperative track deception jamming technology based on swarm intelligence algorithm is proposed. Firstly, the mathematical model, constraint conditions and optimization function of multi-UAV cooperative track deception of netted radar track are given. Secondly, three typical swarm intelligence algorithms are used to optimize the multi-UAV cooperative track deception model. Finally, the differences of three swarm intelligence algorithms in optimizing the multi-UAV cooperative track deception model are compared through simulation experiments.
[中图分类号]
TN973.1
[基金项目]