基于粒子滤波的JPDA多目标跟踪算法  

JPDA algorithm based on particle filter for multi-target tracking

作　　者：李龙[1] 秦超英[1] 黄树峰[1] 

机构地区：[1]西北工业大学理学院应用数学系,陕西西安710129

出　　处：《微型机与应用》2010年第21期76-78,共3页Microcomputer & Its Applications

摘　　要：对于非线性非高斯系统的多目标跟踪问题,在已获得各目标初始信息和观测信息的基础上,结合联合概率数据关联算法,提出了一种基于数值积分粒子滤波的多目标跟踪算法。仿真结果表明,该算法在解决非线性非高斯系统的多目标跟踪问题时是可行有效的。In order to solve non-linear and non-Gaussian multi-target estimation problems,a multi-target tracking algorithm is presented under the conditions that the targets＇ initial information are already estimated successfully.The proposed algorithm combines the particle filter and the JPDA algorithm.The simulation indicates this algorithm can effectively solve non-linear and non-Gaussian multi-target estimation problems.

关 键 词：数值积分 粒子滤波 非线性非高斯 数据关联 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]