Particle filter based maneuvering target tracking

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (34): 61-64.

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Particle filter based maneuvering target tracking

WANG Ya-li,LIN Jia-jun

College of Information Science，East China University of Technology，Shanghai 200237，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-12-01 Published:2007-12-01
Contact: WANG Ya-li

基于粒子滤波的机动目标跟踪

王亚利,林家骏

华东理工大学信息学院，上海 200237

通讯作者: 王亚利

Abstract

Abstract: Target maneuverability is unknown in the maneuvering target tracking scenario.Presents a method which gets the estimation of acceleration by particle filter and the proposal density for acceleration by Kalman filter.The experiment results show that this method can track the change of target state，including the acceleration change，in a good manner.

Key words: maneuvering target tracking, particle filter, Kalman filter

摘要： 在单机动目标跟踪中，目标的机动情况是未知的，提出的算法用粒子滤波器求加速度的估计，由Kalman滤波得到加速度的重要性概率密度函数。仿真实验结果表明，该算法可较好地跟踪目标状态（包括加速度）的变化。

关键词: 机动目标跟踪, 粒子滤波, 卡尔曼滤波

WANG Ya-li,LIN Jia-jun. Particle filter based maneuvering target tracking[J]. Computer Engineering and Applications, 2007, 43(34): 61-64.

王亚利,林家骏. 基于粒子滤波的机动目标跟踪[J]. 计算机工程与应用, 2007, 43(34): 61-64.

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Particle filter based maneuvering target tracking

基于粒子滤波的机动目标跟踪

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