ISSN: 2996-671X
Authors: Bin Zhao* and Wenfei Zou
Aiming at the characteristics of strong anti-jamming ability of networked radar, this paper studies the trajectory optimization problem of multi-UAV cooperative deception jamming of networked radar, and proposes a trajectory optimization model of multi-UAV cooperative deception jamming of networked radar. Considering the factors such as speed, altitude, heading Angle, turning radius, etc., the 3D motion and flight path optimization model of UAV are established. The hierarchical decomposition method is used to simplify the problem, and the collaborative interference path is planned by search and particle swarm optimization. The principle of false target deception jamming is analyzed, the geometric model and motion equation of a single UAV are established, the constraints of cooperative deception and the cost function are determined, and the UAV track is obtained. The layered planning is used to optimize the UAV cooperative motion, increase the actual conditions, improve the fitness function of particle swarm optimization algorithm, and adapt to different radar systems.
Keywords: UAV; Networked Radar; Hierarchical Strategy; Search Algorithm; Particle Swarm Optimization
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