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Proceedings Paper

Multisource multitarget filtering: a unified approach
Author(s): Ronald P. S. Mahler
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Paper Abstract

This paper describes a theoretically rigorous, systematic, and unified approach to the problem of estimating the numbers, identifies, and kinematics of multiple targets observed by multiple sensors. The approach, which is based on a new statistical approach called finite-set statistics (FISST), is motivated in part by the following observation: When the number of targets is unknown, we encounter fundamental conceptual and practical difficulties when trying to do Bayes-optimal multitarget filtering and estimation in accordance with standard statistical reasoning. We describe these difficulties, outline the FISST approach to resolving them, and illustrate FISST by applying it to a model problem due to Oliver Drummond.

Paper Details

Date Published: 3 September 1998
PDF: 12 pages
Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); doi: 10.1117/12.324627
Show Author Affiliations
Ronald P. S. Mahler, Lockheed Martin Tactical Defense Systems (United States)


Published in SPIE Proceedings Vol. 3373:
Signal and Data Processing of Small Targets 1998
Oliver E. Drummond, Editor(s)

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