DocumentCode
2005760
Title
Improved joint probabilistic data association algorithm
Author
Ming-Hui, Wang ; Ying-ning, Peng ; Zhi-Sheng, You
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume
2
fYear
2002
fDate
8-11 July 2002
Firstpage
1602
Abstract
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.
Keywords
clutter; filtering theory; mathematical analysis; sensor fusion; target tracking; dense targets; heavy clutter environment; improved joint probabilistic data association algorithm; joint probabilistic data association filter; mathematical analysis; tracking gate; tracking performance; Filtering; Filters; Gain measurement; Mathematical analysis; Noise measurement; Q measurement; Size measurement; State estimation; Target tracking; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location
Annapolis, MD, USA
Print_ISBN
0-9721844-1-4
Type
conf
DOI
10.1109/ICIF.2002.1021009
Filename
1021009
Link To Document