Multisource multitarget filtering: a unified approach

Ronald P. S. Mahler

doi:10.1117/12.324627

3 September 1998 Multisource multitarget filtering: a unified approach

Ronald P. S. Mahler

Proceedings Volume 3373, Signal and Data Processing of Small Targets 1998; (1998) https://doi.org/10.1117/12.324627
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Ronald P. S. Mahler "Multisource multitarget filtering: a unified approach", Proc. SPIE 3373, Signal and Data Processing of Small Targets 1998, (3 September 1998); https://doi.org/10.1117/12.324627

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