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粒子滤波算法研究现状与发展趋势 被引量:6

The Research Status and Development Trend of Particle Filtering
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摘要 粒子滤波是解决非线性非高斯动态系统最优估计问题的研究热点。介绍了粒子滤波算法基本原理,分析了存在的几个关键问题和解决方法,进而总结归纳了当前15种主要改进的粒子滤波算法,同时介绍了粒子滤波目前主要应用领域,最后对粒子滤波的发展提出了展望。 Particle filtering is investigated widely to solve optimal estimations of nonlinear and non-Gaussian dynamic system.The principle of particle filtering is expatiated,and its key problems and countermeasures are analyzed.Furthermore,fifteen improved methods of particle filtering algorithm is summed up.Meanwhile,applications are concluded.Finally,the prospect of particle filtering is presented.
机构地区 电子工程学院
出处 《电子信息对抗技术》 2010年第5期8-16,34,共10页 Electronic Information Warfare Technology
关键词 非线性估计 序贯Monte CARLO方法 粒子滤波 nonlinear estimation sequential Monte Carlo methods particle filtering
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参考文献52

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二级参考文献255

共引文献640

同被引文献40

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