A Novel Multiple Maneuvering Targets Tracking Algorithm with Data Association and Track Management

作者：Zhang, Shicang^*; Li, Jianxun; Wu, Liangbin

来源：International Journal of Control Automation and Systems, 2013, 11(5): 947-956.

DOI：10.1007/s12555-012-0177-z

• Data association and track management
• generalized pseudo-Bayesian of first order
• pseudo-measurement

A novel multiple maneuvering targets tracking algorithm with data association and track management is presented in this paper. First, the variation of the generalized pseudo-Bayesian estimator of first order is designed. Then, the data association and track management via handling two matrices are given, which reflect the relationships between target trajectory and the output of the Gaussian mixture probability hypothesis density (PHD) filter for jump Markov system models (JMS-GM-PHD) filter. The tracking performance of the proposed algorithm is compared with two conventional algorithms. One is JMS-GM-PHD filter, the other is algorithm entitled hybrid algorithms for multi-target tracking using MET and GM-CPHD which is denoted as hybrid method hereinafter. The results of Monte Carlo simulation show that the proposed filter has overall performance than the conventional.

• 出版日期2013-10
• 单位上海交通大学