Improved joint probabilistic data association algorithm
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 1602-1604 vol.2
Tóm tắt
The joint probabilistic data association (JPDA) filter has a very good tracking performance in dense targets and heavy clutter environments. However, the JPDA filter also has a huge computer load and tends to combine neighboring tracks. In this paper, an improved JPDA algorithm is presented. The main feature of our method is improving the performance of the JPDA algorithm by improving the performance of the tracking gate. The effectiveness of this method is assessed by mathematical analysis.
Từ khóa
#Target tracking #Q measurement #Gain measurement #Noise measurement #Time measurement #Size measurement #Filters #Mathematical analysis #Filtering #State estimationTài liệu tham khảo
bar-shalora, 1995, Multitarget-Multisensor Tracking Principles and Techniques
kirubarajan, 1999, topography-based vs-imm estimator for large-scale ground target tracking, IEE Colloquium Target Tracking Algorithms and Applications, 11/1
wang, 2002, A performance optimized tracking gate algorithm, Acta Electronics Sinica, 28, 13
bar-shalom, 1988, Tracking and Data Association
10.1109/5.554210
10.1109/CDC.1995.478532
ahmeda, 1997, adaptive joint probabilistic data association algorithm for tracking multiple targets in cluttered environment, Radar Sonar and Navigation IEE Proceedings -, 144, 309, 10.1049/ip-rsn:19971585
bar-shalom, 1975, Tracking in A Cluttered Environment with Probability Data Association, 451
blackman, 1986, Multiple-Target Tracking with Radar Applications
blom, 1992, Design of a multisensor lracking system for advanced air traffic control, Multitarget-Multisensor Tracking Applications and Advances