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为研究针对组网雷达的无人机集群智能航迹欺骗算法，基于视线准则，分析虚假目标、无人机与雷达三者的耦合关系，推导得到用于航迹规划的无人机运动控制方程。以一定的无人机动力学约束为约束条件，以最小化各无人机飞行距离为优化目标，建立针对组网雷达的无人机集群智能航迹欺骗数学模型。在预设虚假航迹以及雷达先验信息已知的条件下，采用粒子群优化（Particle Swarm Optimization,PSO）算法对上述优化模型进行求解。仿真结果表明，所提算法能够基于预设虚假航迹及雷达位置等先验信息，在满足严格动力学约束的条件下，适应动态威胁环境，完成实时欺骗信号参数设计，以低速平台模拟高速虚假目标，实现对组网雷达的欺骗干扰。
Abstract：To investigate the algorithm for intelligent trajectory deception of UAV swarm against radar networks, the coupling relationship among false targets, UAVs and radar is analyzed based on the Line of Sight(LOS) criterion to derive the motion control equations of UAV for trajectory planning. With certain UAV dynamic constraints as the constraints condition and minimizing the flight distance of each UAV as the optimization objective, a mathematical model for intelligent trajectory deception of the UAV swarm against radar networks is established. Under the conditions of preset false trajectories and known radar prior information, the Particle Swarm Optimization(PSO) algorithm is adopted to solve the optimization model mentioned above. Simulation results show that the proposed algorithm based on preset false trajectories and radar positions, can adapt to dynamic threat environments while satisfying strict dynamic constraints, and accomplish the real-time deception signal parameter design to simulate high-speed false targets using lowspeed platforms and achieve deception interference against radar networks.
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Basic Information:
DOI：10.16358/j.issn.1009-1300.20230551
China Classification Code:TN974;V279
Citation Information:
[1]林文斌,时晨光,宋海伟,等.针对组网雷达的无人机集群智能航迹欺骗算法[J].战术导弹技术,2023,No.222(06):102-112+133.DOI:10.16358/j.issn.1009-1300.20230551.
Fund Information:
国家自然科学基金（62271247）; 国防基础科研计划资助项目（JCKY2021210B004）; 航空科学基金（20220055052001）; 南京航空航天大学前瞻布局科研专项资金