Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Target tracking using interacting multipattern probabilistic data association (IMP-PDA)

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
$31 $13
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

2 Author(s)
Hong, L. ; Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA ; Ningzhou Cui

A theoretical development of a novel approach for target tracking based on multiple patterns extracted from measurement sequences is presented in this paper. The introduction of patterns leads to a new paradigm of developing high performance algorithms. An interacting multipattern probabilistic data association (IMP-PDA) algorithm is developed, taking advantage of clever formulation of the interacting multiple model (IMM) approach. The IMP-PDA algorithm employs distance, directional and manoeuvre information for data association, which enhances significantly the capability of discriminating correct measurements from false measurements

Published in:

American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

Date of Conference:

1999