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
fDate :
12/1/1997 12:00:00 AM
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;
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
DOI :
10.1049/ip-rsn:19971585
