Referenced Items are not available for this document.
Predetection fusion can be indispensable for multisensor/multitarget tracking using large networks of low quality sensors. Previously we derived both the "optimal" generalized likelihood ratio test (GLRT) and a more practicable contact-sifting variant. Unfortunately, the gaps between the two in terms both of computation time and performance are not inconsiderable. In this paper we propose an approach, based on random finite sets (RFS) and implemented by Markov chain Monte Carlo (MCMC) simulation, that offers a good balance between run time and metrics for the tracking results.
Published in:
Aerospace and Electronic Systems, IEEE Transactions on
(Volume:48
,
Issue:
4
)
Date of Publication: October 2012
- Page(s):
- 2894 - 2907
- ISSN :
- 0018-9251
- INSPEC Accession Number:
- 13034435
- Digital Object Identifier :
- 10.1109/TAES.2012.6324668
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 08 October 2012
- Issue Date :
- October 2012
- Sponsored by :
- Aerospace & Electronic 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.
