DocumentCode
1525668
Title
Adaptive joint probabilistic data association algorithm for tracking multiple targets in cluttered environment
Author
Ahmeda, S.S. ; Keche, M. ; Harrison, I. ; Woolfson, M.S.
Author_Institution
Dept. of Electr. & Electron. Eng., Nottingham Univ., UK
Volume
144
Issue
6
fYear
1997
fDate
12/1/1997 12:00:00 AM
Firstpage
309
Lastpage
314
Abstract
A joint probabilistic data association filter that uses adaptive update times for tracking targets in a cluttered environment is presented and compared with the joint probabilistic data association filter that uses a constant update time. The tracking performance of the algorithm is assessed by Monte Carlo simulations on different target trajectories
Keywords
Monte Carlo methods; adaptive filters; adaptive signal processing; filtering theory; probability; radar clutter; radar signal processing; radar tracking; tracking filters; Monte Carlo simulations; adaptive joint probabilistic data association algorithm; adaptive update times; cluttered environment; joint probabilistic data association filter; multiple targets tracking; target trajectories; tracking performance;
fLanguage
English
Journal_Title
Radar, Sonar and Navigation, IEE Proceedings -
Publisher
iet
ISSN
1350-2395
Type
jour
DOI
10.1049/ip-rsn:19971585
Filename
646932
Link To Document