Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking

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Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking

In this correspondence, we derive a forward-backward smoother for joint target detection and estimation and propose a sequential Monte Carlo implementation. We model the target by a Bernoulli random finite set since the target can be in one of two “present” or “absent” modes. Finite set statistics i...

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Bibliographic Details
Main Authors:	Vo, Ba Tuong, Clark, D., Vo, Ba-Ngu, Ristic, B.
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers 2011
Subjects:	tracking filtering estimation Detection smoothing
Online Access:	http://hdl.handle.net/20.500.11937/33662

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