水下无人系统学报2026，Vol.34Issue(1)：190-197,8.DOI:10.11993/j.issn.2096-3920.2025-0081
基于自适应变异粒子群的水声诱骗装置协同对抗策略优化
Optimization of Cooperative Countermeasure Strategy for Underwater Acoustic Deception Devices Based on Adaptive Mutation PSO
摘要
Abstract
To address the insufficient research on the cooperative combat system of multiple underwater acoustic deception devices when surface ships defend against underwater guidance devices,as well as the problems of low efficiency and poor portability of traditional exhaustive methods,this paper introduced the particle swarm optimization(PSO)algorithm to optimize the countermeasure model and improved the algorithm by introducing an adaptive inertia weight and a multi-radius mutation mechanism.Meanwhile,the paper established a multi-objective optimization function with core indicators including defense success rate,minimum engagement distance,and ship survival time to optimize the ship's evasive course,as well as the launch distance and angle of two flying-aided underwater acoustic deception devices.Simulation results show that the proposed improved algorithm has higher efficiency,faster convergence speed,and better fitness compared with traditional algorithms.It also reveals the differences in optimal countermeasure strategies under different bearing angle situations and their tactical values,providing an important reference for the formulation of defense strategies against underwater guidance devices.关键词
水下制导装置/助飞式水声诱骗装置/粒子群优化算法/协同对抗/自适应变异Key words
underwater guidance device/flying-aided underwater acoustic deception device/particle swarm optimization algorithm/cooperative countermeasure/adaptive mutation分类
军事科技引用本文复制引用
夏志军,任云冲,韩云峰,江雷..基于自适应变异粒子群的水声诱骗装置协同对抗策略优化[J].水下无人系统学报,2026,34(1):190-197,8.基金项目
军队重点科研项目资助(2023464). （2023464）
