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时空积分及粒子群优化算法的目标被动定位方法 被引量:2

A Passive Target Location Method based on STI and PSO
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摘要 目标运动分析是武器控制的基础,研究了可用于目标被动定位的时空积分方法,建立了该方法求解目标运动参数的理论模型,采用粒子群优化算法对时空积分谱进行优化处理以获得目标参数的最优解,海上试验数据处理结果表明该方法能够得到稳定有效的解。 The target motion analysis (TMA) is the base of weapon control. A long-time-and-space integration (STI) method of target motion analysis is presented in this paper. The Particle Swarm Optimization (PSO) is adopted to extract the maximum of the long-time integrated spectrum and then got the target motion parameters. The process of practical trial data proves the validity of the method.
机构地区 海军潜艇学院
出处 《火力与指挥控制》 CSCD 北大核心 2009年第4期52-53,62,共3页 Fire Control & Command Control
基金 国防预研基金资助项目(40105010102)
关键词 目标运动分析 被动定位 时空积分 target motion analysis, passive localization ,space-time integration
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