| 粒子滤波算法研究现状与发展趋势 |
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| 引用本文： | 张诗桂,朱立新,赵义正.粒子滤波算法研究现状与发展趋势[J].电子信息对抗技术,2010,25(5):8-16,34. |
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| 作者姓名： | 张诗桂 朱立新 赵义正 |
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| 作者单位： | 电子工程学院,合肥,230037 |
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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。
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| 关 键 词： | 非线性估计 序贯Monte Carlo方法 粒子滤波 |
The Research Status and Development Trend of Particle Filtering |
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| Authors: | ZHANG Shi-gui ZHU Li-xin ZHAO Yi-zheng |
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| Affiliation: | ZHANG Shi-gui,ZHU Li-xin,ZHAO Yi-zheng(Electronic and Engineering Institute,Hefei 230037,China) |
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| Abstract: | 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. |
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| Keywords: | nonlinear estimation sequential Monte Carlo methods particle filtering |
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