Multisource multitarget filtering: a unified approach

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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.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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