Referenced Items are not available for this document.
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
- Page(s):
- 4228 - 4232 vol.6
- Meeting Date :
- 02 Jun 1999-04 Jun 1999
- ISSN :
- 0743-1619
- Print ISBN:
- 0-7803-4990-3
- INSPEC Accession Number:
- 6403117
- Conference Location :
- San Diego, CA
- Digital Object Identifier :
- 10.1109/ACC.1999.786356
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
