Multiple hypotheses tracking based distributed fusion using decorrelated pseudo measurement sequence

A joint probabilistic data association based algorithm for multi-target tracking in clutter using the distributed tracking architecture has been proposed recently. The algorithm uses the decorrelated state estimates or equivalent pseudo measurements. This paper extends the previous approach to the m...

Full description

Saved in:

Bibliographic Details
Published in:	2004 American Control Conference Proceedings; Volume 5 of 6 Vol. 5; pp. 4750 - 4751 vol.5
Main Authors:	Mallick, M., Pao, L.Y., Chang, K.C.
Format:	Conference Proceeding Journal Article
Language:	English
Published:	Piscataway NJ IEEE 01.01.2004 Evanston IL American Automatic Control Council
Subjects:	Additive noise Applied sciences Computational complexity Computer architecture Computer errors Computer science; control theory; systems Control theory. Systems Covariance matrix Decorrelation Distributed computing Exact sciences and technology Measurement errors Modelling and identification State estimation Target tracking Target tracking Probabilistic approach Clutter Distributed algorithm
ISBN:	9780780383357, 0780383354
ISSN:	0743-1619
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!