A new algorithm for multiple maneuvering target tracking

摘要：

In this paper, a new algorithm for multiple maneuvering target tracking is proposed.The proposed algorithm which is based on separating the multiple maneuvering target tracking into three parts-the data association, the estimation of the single target dynamic model and the estimation of the single target tracking subproblems conditional on the data association and the target dynamic model.Where the data assciation subproblem can be solved by the fuzzy data assciation,the single target dynamic model by the Rao–Blackwellized particle filter (MMRBPF) and the single target tracking by Kalman filter or extend Kalman filter. Finally, the experiment results show that the proposed algorithm can effectively track multiple manuvering targets.

关键词： maneuvering target tracking data association Rao–Blackwellized particle filter

作者: Liang-qun Li Wei-Xin Xie

作者单位: School of Information Engineering, Shenzhen University, Guangdong 518060, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2105-2108

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）