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Proceedings Paper

Sequential Monte Carlo for maneuvering target tracking in clutter
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Paper Abstract

In this paper we consider the problem of tracking a maneuvering target in clutter. We apply an original on-line Monte Carlo filtering algorithm to perform optimal state estimation. Improved performance of the resulting algorithm over standard IMM/PDAF based filters is demonstrated.

Paper Details

Date Published: 4 October 1999
PDF: 8 pages
Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); doi: 10.1117/12.364045
Show Author Affiliations
Neil J. Gordon, Defence Evaluation and Research Agency Malvern (United Kingdom)
Arnaud Doucet, Univ. of Cambridge (United Kingdom)


Published in SPIE Proceedings Vol. 3809:
Signal and Data Processing of Small Targets 1999
Oliver E. Drummond, Editor(s)

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