Tracking Ground Targets with Road Constraint Using Multiple Hypotheses Tracking

摘要：

Data association in tracking multiple targets is of vital importance for airborne surveillance radar. Multiple hypotheses tracking (MHT) is generally accepted as the preferred method for solving the data association problem in modern multiple-target tracking (MTT) systems. However, there are usually too many hypotheses to process slowly. In this paper, map information has been used to prevent unnecessary MHT track branches and improve the state estimator. The simulation results show that this new algorithm improves tracking performance in realistic environment and effectively brings down the number of track branches, while reducing largely calculating time with better accuracy.

关键词： Data Association MHT MTT Map Information

作者: Li Cuiping Sun Jinping Mao Shiyi Liu Desheng

作者单位: School of Electronic and Information Engineering Beihang University Beijing, China 100191 School of Electronic and Information Engineering Beihang University Beijing, China 100191 School of Automation Science and Electrical Engineering Beihang University Beijing, China 100191

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1105-1109

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）