| 自适应采样数粒子滤波算法 |
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| 引用本文： | 胡建旺,张淼.自适应采样数粒子滤波算法[J].军械工程学院学报,2009,21(3):55-58. |
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| 作者姓名： | 胡建旺 张淼 |
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| 作者单位： | 军械工程学院光学与电子工程系;66010部队; |
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| 摘 要： | 基于统计决策规则提出自适应采样数粒子滤波算法,在定义综合性能风险函数的基础上,推导出粒子数与滤波误差方差之间的关系式,使得在跟踪过程中,可以根据目标的机动情况在线调节粒子数,以使跟踪性能达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验,结果表明,自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法,跟踪性能较基本粒子滤波算法提高了3.7倍。
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| 关 键 词： | 机动目标跟踪 统计决策规则 自适应粒子滤波 闪烁噪声 |
Adaptive Samples Particle Filtering Algorithm |
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| HU Jian-wang,ZHANG Miao.Adaptive Samples Particle Filtering Algorithm[J].Journal of Ordnance Engineering College,2009,21(3):55-58. |
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| Authors: | HU Jian-wang ZHANG Miao |
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| Institution: | 1.Department of Optical and Electronic Engineering;Ordnance Engineering College;Shijiazhuang 050003;China;2.PLA Unit 66010;Shijiazhuang 050061;China |
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| Abstract: | This paper proposes an adaptive samples particle filtering(ASPF) algorithm based-on statistical decision-making rule,through defining the integrated performance risk function,deduces the relationship between the number of particles and filtering error variance,so the number of used particles during tracking can change according to the target maneuvering situation,in order to get the best possible tracking performance.Then,this paper demonstrates the performance benefits in an application of tacking a maneuv... |
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| Keywords: | maneuvering target tracking statistical decision-making rule adaptive particle filtering |
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