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基于粒子滤波的单站无源定位跟踪新算法研究
引用本文:魏 星,万建伟,皇甫堪. 基于粒子滤波的单站无源定位跟踪新算法研究[J]. 通信学报, 2005, 26(12): 81-85
作者姓名:魏 星  万建伟  皇甫堪
作者单位:国防科技大学,电子科学与工程学院,湖南,长沙,410003
基金项目:总装武器装备预研基金资助项目(51421030505KG0172)
摘    要:针对单站无源定位跟踪系统非线性较强、传统跟踪滤波方法收敛速度、慢容易发散的问题,提出了一种新的跟踪滤波算法P-EKF。该方法采用粒子滤波的思想对目标实现初始的捕捉,然后通过扩展卡尔曼滤波方法对目标进行跟踪保持,提高了目标跟踪收敛速度和跟踪精度,而对计算资源的消耗有限。缩比仿真实验证明了该方法的可行性和有效性,具有较高的应用价值。

关 键 词:单站无源定位跟踪系统  跟踪滤波  扩展卡尔曼滤波  粒子滤波
文章编号:1000-436X(2005)12-0081-05
收稿时间:2005-10-20
修稿时间:2005-11-10

New technique in single observer passive tracking based on particle filter
WEI Xing,WAN Jian-wei,HUANGFU Kan. New technique in single observer passive tracking based on particle filter[J]. Journal on Communications, 2005, 26(12): 81-85
Authors:WEI Xing  WAN Jian-wei  HUANGFU Kan
Affiliation:School of Electronic Science and Engineering National University of Defense Technology, Changsha 410073, China
Abstract:A new tracking filter was proposed for the highly non-linear single observer passive location and tracking(SOPLAT)system,where the common tracking filters often failed to catch and kept tracking of the emitter.The new method used the particle filter to catch the emitter,and then used the EKF to keep the tracking of the emitter.By using this method,the convergence speed and the precision of the tracking filter could be improved,and the calculation burden wasn't out of the system ability.The shorten experiment proved the feasibility and availability of the new filter.
Keywords:SOPLAT  tracking filter  EKF  PF  
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