摘要
针对水下非合作军事目标的远程被动电场定位需求,提出利用非规则布放的测量电极获得水下电位数据,并采用边界变异自适应差分进化算法可以实现对半无限大海水中恒定电流元的准确定位。从半无限大海域中恒定电流元所产生的标量电位表达式出发,通过建立目标函数,将电流元的定位问题转化为目标函数最小值优化问题;然后引入参数自适应策略和边界变异处理机制,以解决基本差分进化算法存在的易陷入局部最优解、收敛性差、抗噪能力弱等问题。仿真分析和实验室定位结果表明:所提出的边界变异自适应差分进化算法在解决水下恒定电流元定位问题时,具有不依赖初值、搜索范围大、抗噪性能好等优点,具有较强的实用性。
To address the need for the remote passive electric field localization of underwater noncooperative military targets,this study proposes utilizing irregularly deployed measuring electrodes to acquire underwater potential data.A boundary-mutated adaptive differential evolution(BMADE)algorithm is introduced to accurately locate a constant current source in semi-infinite seawater.Commencing with the scalar potential expression induced by the constant current source in a semi-infinite ocean,the localization problem is formulated as a minimization of an objective function.Subsequently,a parameter adaptation strategy and boundary mutation mechanism are incorporated to mitigate issues in basic differential evolution,including local optima entrapment,premature convergence,and poor noise resistance.Simulation analyses and laboratory experiments demonstrate that BMADE,when applied to underwater constant current source localization,exhibits independence from the initial values,extensive search capabilities,robust noise immunity,and enhanced practicality.
作者
陈聪
吴旭
孙嘉庆
王文龙
侯云甫
CHEN Cong;WU Xu;SUN Jiaqing;WANG Wenlong;HOU Yunfu(Department of Basic Courses,Naval University of Engineering,Wuhan 430033,China)
出处
《哈尔滨工程大学学报》
北大核心
2025年第1期173-180,共8页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(51109215).
关键词
电场定位
非线性方程组
差分进化
参数自适应
边界变异
恒定电流元
electric field localization
nonlinear equation
differential evolution
self-adaptive parameter
boundarymutated
constant current source
