By Topic

Adaptive joint probabilistic data association algorithm for tracking multiple targets in cluttered environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
S. S. Ahmeda ; Dept. of Electr. & Electron. Eng., Nottingham Univ., UK ; M. Keche ; I. Harrison ; M. S. Woolfson

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

Published in:

IEE Proceedings - Radar, Sonar and Navigation  (Volume:144 ,  Issue: 6 )