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RBPF粒子滤波在目标跟踪中的应用研究 被引量：3

Research on Application of RBPF in Target Tracking
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摘要 针对雷达目标跟踪中的某一类非线性问题,传统处理方法都是先行线性化再进行处理,但当线性化后的测量噪声相关性较大时则无法满足要求。为此,应用RBPF粒子滤波进行研究。在仿真实验中对RBPF多权值的情况进行探讨,提出一种可行的处理方法。对RBPF在噪声相关性较大时的性能进行分析,并讨论其在时间推移时的相对估计误差变化情况。 Rao-Blackwellised Particle Filtering（RBPF） is a class of particle filter. A particular nonlinear radar target tracking problem is analyzed in detail, this kind of problem is often dealt with linearization and it is failed when correlation between measurement noise is too big. In this simulation test, multi-weight of RBPF is discussed and a doable way is proposed, the performance of RBPF under much correlation of noise is analyzed, relative estimate error of RBPF is also discussed when time processes.
作者 赵丰 汤磊 陈国友 赵宗贵
机构地区 解放军理工大学指挥自动化学院 海南省军区 南京陆军指挥学院 中国电子科技集团公司第
出处 《计算机工程》 CAS CSCD 北大核心 2011年第3期149-151,共3页 Computer Engineering
基金 国家部委基金资助项目
关键词 RBPF粒子滤波 KALMAN滤波 目标跟踪 Rao-Blackwellised Particle Filtering（RBPF） Kalman filtering target tracking
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献5

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二级参考文献3

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共引文献10

同被引文献35

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引证文献3

二级引证文献7

计算机工程
2011年 第3期

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