Multitarget Tracking in clutter using Two-Scan Data Association Algorithm and Fixed-lag Smoothing

摘要：

The performance of multitarget tracking in clutter can be improved by using higher accuracy data association algorithm and more efficient state estimation method. This paper presents a novel fixed-lag TSDA-AI smoothing algorithm, which enhances the accuracy of state estimation by using fixed-lag smoothing, and improves the probability of real “measurement-target combination by using two-scan measurements and the associated amplitude feature in the data association method. Its efficiency has been confirmed by computer simulations.

关键词： Multi-target Tracking:Two-scan JPDA Amplitude Feature:Fixed-lag smoothing.

作者: Wu Wei

作者单位: State Key Laboratory of impulse power Laser Technology and the Electronic Engineering Institute of Hefei,No.460 Huangshan Road Hefei Anhui P.R.China.

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 192-197

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）