Research on flight scheduling of UAV in cooperation with passive radar for detection based on improved PSO algorithm

Jian He; Siru Zhu; Xiaoqing Sun

doi:10.1117/12.3009415

11 October 2023 Research on flight scheduling of UAV in cooperation with passive radar for detection based on improved PSO algorithm

Jian He, Siru Zhu, Xiaoqing Sun

Author Affiliations +

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 1291817 (2023) https://doi.org/10.1117/12.3009415
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

The article investigates the flight scheduling problem during cooperative detection of UAVs and radars in a multi-station time-differential localization system, taking into account constraints such as the UAV’s cruise speed, full-fueled cruise time, loaded cruise time, and re-takeoff interval time. The time-series method is introduced, and the problem is decomposed into two sub-problems: the assignment of the task chains list and the assignment of UAV sorties, both of which are optimization problems belonging to the set partitioning. For the task chains list problem, the optimization model is established and an improved PSO algorithm is designed, including unconstrained treatment based on penalty terms, adaptive inertial weighting factors, and hybrid join mutation operation of GA algorithm. For the assignment of UAV sorties, the optimization model is established and a solution algorithm is designed. Simulations and analyses of the model and algorithm were carried out to prove that the model and algorithm are reasonable and effective.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Jian He, Siru Zhu, and Xiaoqing Sun "Research on flight scheduling of UAV in cooperation with passive radar for detection based on improved PSO algorithm", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 1291817 (11 October 2023); https://doi.org/10.1117/12.3009415

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KEYWORDS

Unmanned aerial vehicles

Particle swarm optimization

Radar

Plutonium

Particles

Detection and tracking algorithms

Radar sensor technology

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