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基于集群智能粒子滤波的弹道导弹跟踪
引用本文:梁晓龙,冯金富,杨啸天,刘安,胡俊华.基于集群智能粒子滤波的弹道导弹跟踪[J].电光与控制,2009,16(7).
作者姓名:梁晓龙  冯金富  杨啸天  刘安  胡俊华
作者单位:空军工程大学工程学院,西安,710038
基金项目:国家"八六三"创新基金 
摘    要:针对弹道跟踪问题,提出人工鱼群算法优化粒子滤波的方法.将集群智能思想引进粒子滤波,解决其粒子权值退化及粒子需求量大的缺点.首先,阐述了粒子滤波原理及其存在的一些问题.然后将人工鱼群算法融合进粒子滤波,使粒子群体向高似然方向移动,从而克服粒子权值退化问题.仿真结果说明该算法中的滤波算法的有效性.

关 键 词:弹道导弹  目标跟踪  粒子滤波  人工鱼群算法

Ballistic Missile Tracking Based on a Swarm Intelligent Particle Filter
LIANG Xiaolong,FENG Jinfu,YANG Xiaotian,LIU An,HU Junhua.Ballistic Missile Tracking Based on a Swarm Intelligent Particle Filter[J].Electronics Optics & Control,2009,16(7).
Authors:LIANG Xiaolong  FENG Jinfu  YANG Xiaotian  LIU An  HU Junhua
Affiliation:Engineering College;Air Force Engineering University;Xi'an 710038;China
Abstract:An optimum particle filter method based on artificial fish-swarm algorithm was proposed to deal with ballistic missile tracking problem.Swarm intelligence was introduced into particle filtering to solve its shortcomings of particle weight degradation and large requirement to particles.In this paper,the principle of particle filter and the problem existed were described.Then artificial fish-swarm algorithm was combined with particle filter to make the particle swarm move to the region of high likelihood,thus...
Keywords:ballistic missile  target tracking  particle filter  artificial fish-swarm algorithm  
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