Author(s)

ShunYu Li^*, YuXin Wang, Yang Rong

Affiliation(s)

School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, Liaoning, China.

Corresponding Author

ShunYu Li

ABSTRACT

The cooperative application of smoke jamming bomb and UAV is an important means to protect the target in combat, and the effective shielding time is the key index to measure its jamming effect. In this paper, aiming at the combat scene with one fixed real target, one false target, three incoming missiles and five UAVs, by analyzing the multi-object motion law and the smoke shielding judgment conditions, the multi-object motion model and the smoke shielding judgment model are established, and the improved particle swarm optimization algorithm is used to study the optimal strategy of smoke delivery under different constraints. We found that the total effective shielding time is 13.79s.

KEYWORDS

UAV smoke bomb cooperative jamming model; Multi-objective optimization model; Hierarchical optimization algorithm; Cloud cluster; Intersection determination

CITE THIS PAPER

ShunYu Li, YuXin Wang, Yang Rong. UAV smoke bomb delivery strategy based on improved particle swarm optimization algorithm. Journal of Computer Science and Electrical Engineering. 2025, 7(7): 55-59. DOI: https://doi.org/10.61784/jcsee3101.

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