面向欺骗干扰组网雷达的无人机集群稳健航迹规划算法

doi:10.12305/j.issn.1001-506X.2026.05.11

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (5): 1551-1563.doi: 10.12305/j.issn.1001-506X.2026.05.11

面向欺骗干扰组网雷达的无人机集群稳健航迹规划算法

林文斌¹, 时晨光¹^,*, 严牧², 汪飞¹, 周建江¹

1. 南京航空航天大学雷达成像与微波光子技术教育部重点实验室，江苏南京 210016
2. 电磁空间认知与智能控制技术实验室，北京 100191

收稿日期:2024-07-15 出版日期:2026-05-27 发布日期:2026-05-27
通讯作者: 时晨光
作者简介:林文斌（2000—），男，硕士研究生，主要研究方向为集群电子对抗
严　牧（1991—），男，助理研究员，博士，主要研究方向为电磁空间认知、群体频谱智能
汪　飞（1976—），男，副教授，博士，主要研究方向为飞行器射频隐身、雷达信号处理、阵列信号处理
周建江（1962—），男，教授，博士，主要研究方向为飞行器射频隐身、雷达目标特性分析、航空电子信息技术
基金资助:
国家自然科学基金面上项目（62271247）；江苏省自然科学基金优秀青年基金（BK20240181）；江苏高校“青蓝工程”；航空科学基金（20220055052001）；江淮前沿技术协同创新中心追梦基金（2023-ZM01D001）资助课题

Robust trajectory planning algorithm for UAVs swarm facing deceptive jamming networked radar

Wenbin LIN¹, Chenguang SHI¹^,*, Mu YAN², Fei WANG¹, Jianjiang ZHOU¹

1. Key Laboratory of Radar Imaging and Microwave Photonics，Ministry of Education，Nanjing University of Aeronautics and Astronautics，Nanjing 210016，China
2. Laboratory of Electromagnetic Space Cognition and Intelligent Control，Beijing 100191，China

Received:2024-07-15 Online:2026-05-27 Published:2026-05-27
Contact: Chenguang SHI

摘要/Abstract

摘要：

针对雷达站址与存储转发设备的误差导致航迹欺骗效果差的问题，研究面向欺骗干扰组网雷达的无人机集群稳健航迹规划算法。首先，分析组网雷达的空间分辨单元及其“同源检验”准则，确定无人机集群对组网雷达实施航迹欺骗的条件。其次，以满足各无人机飞行动力学限制为约束条件，以最小化无人机集群实际生成虚假目标与预设虚假目标的偏移为优化目标，建立面向欺骗干扰组网雷达的无人机集群稳健航迹规划数学模型。在此基础上，考虑雷达站址与存储转发设备存在正态随机误差，采用粒子群优化算法对上述优化模型进行求解。仿真结果表明，在满足各无人机动力学约束的条件下，所提算法能够提高复杂误差情况下的航迹欺骗成功率，实现针对组网雷达的稳健航迹欺骗。

关键词: 航迹规划, 航迹欺骗, 误差分析, 无人机集群, 粒子群优化算法, 组网雷达

Abstract:

To address the issue of poor deception effectiveness caused by errors in radar locations and storage-forwarding devices, research is conducted on robust trajectory planning algorithms for unmanned aerial vehicle (UAV) swarm facing deceptive jamming networked radar. Firstly, the spatial resolution unit of the networked radar and its “homogeneity test” criteria are analyzed to determine the conditions for UAV swarm to implement trajectory deception on networked radar. Secondly, with the constraint of satisfying the flight dynamics limitations of each UAV, and the optimization objective of minimizing the deviation between the actual generated false targets and the preset false targets of the UAV swarm, a robust trajectory planning mathematical model for the UAV swarm oriented deception jamming networked radar is established. On this basis, considering the normal random errors in radar site locations and storage-forwarding devices, the particle swarm optimization algorithm is employed to solve the optimization model. Simulation results indicate that under the condition of satisfying the dynamic constraints of each UAV, the proposed algorithm can improve the success rate of trajectory deception in complex error conditions and achieve robust trajectory deception against networked radar.

Key words: trajectory planning, trajectory deception, error analysis, unmanned aerial vehicle (UAV) swarm, particle swarm optimization (PSO) algorithm, networked radar

中图分类号:

TN 974

林文斌, 时晨光, 严牧, 汪飞, 周建江. 面向欺骗干扰组网雷达的无人机集群稳健航迹规划算法[J]. 系统工程与电子技术, 2026, 48(5): 1551-1563.

Wenbin LIN, Chenguang SHI, Mu YAN, Fei WANG, Jianjiang ZHOU. Robust trajectory planning algorithm for UAVs swarm facing deceptive jamming networked radar[J]. Systems Engineering and Electronics, 2026, 48(5): 1551-1563.

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面向欺骗干扰组网雷达的无人机集群稳健航迹规划算法

Robust trajectory planning algorithm for UAVs swarm facing deceptive jamming networked radar

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