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

Abstract

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

CLC Number:

TN 974

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.

Figures/Tables 14

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

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