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 for developing high performance algorithms. An interacting multi-pattern probabilistic data association (IMP-PDA) algorithm is developed, taking the advantage of clever formulation of the interacting multiple model approach. The IMP-PDA algorithm employs distance, directional and maneuver information for data association, which enhances significantly the capability of discriminating correct measurements from false measurements
Published in:
Automatic Control, IEEE Transactions on
(Volume:46
,
Issue:
8
)
Date of Publication: Aug 2001
- Page(s):
- 1223 - 1236
- ISSN :
- 0018-9286
- INSPEC Accession Number:
- 7020633
- Digital Object Identifier :
- 10.1109/9.940926
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2002
- Issue Date :
- Aug 2001
- Sponsored by :
- IEEE Control Systems Society
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.
