Research on Optimization of Acoustic Deception Countermeasure Based on Adaptive Mutation Particle Swarm

XIA Zhijun; REN Yunchong; HAN Yunfeng; JIANG Lei

doi:10.11993/j.issn.2096-3920.2025-0081

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XIA Zhijun, REN Yunchong, HAN Yunfeng, JIANG Lei. Research on Optimization of Acoustic Deception Countermeasure Based on Adaptive Mutation Particle Swarm[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0081

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XIA Zhijun, REN Yunchong, HAN Yunfeng, JIANG Lei. Research on Optimization of Acoustic Deception Countermeasure Based on Adaptive Mutation Particle Swarm[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0081

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Research on Optimization of Acoustic Deception Countermeasure Based on Adaptive Mutation Particle Swarm

doi: 10.11993/j.issn.2096-3920.2025-0081

1.
Dalian Naval Academy, Dalian 116018, China
2.
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150000, China

Received Date: 2025-06-30
Accepted Date: 2025-08-18
Rev Recd Date: 2025-07-19

Available Online: 2026-01-12

Abstract

Abstract

In view of the lack of research on the cooperative combat system of multiple acoustic decoys in the decision-making system for surface ships to defend against underwater guidance device, as well as the problems of low efficiency and poor portability in the traditional exhaustive method, this paper introduces the particle swarm optimization algorithm to optimize the countermeasure model and improves the particle swarm algorithm by introducing adaptive inertia weight and multi-radius mutation mechanism. A multi-objective optimization function composed of defense success rate, minimum engagement distance and ship survival time is established. The optimization parameters include the ship's evasive course, the launch distance and angle of the first flying acoustic decoy, and the launch distance and angle of the second flying acoustic decoy. The simulation results show that the proposed improved particle swarm algorithm has higher efficiency, faster convergence speed and higher fitness value compared with the traditional algorithm. Through simulation, the differences in the optimal countermeasure strategies under different bearing angles and their tactical significance are revealed, which has important reference value for the formulation of defense strategies against underwater guidance device in real naval battles.

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References(12)

References

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