Forward-Backward Probability Hypothesis Density Smoothing

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Forward-Backward Probability Hypothesis Density Smoothing

A forward-backward probability hypothesis density (PHD) smoother involving forward filtering followed by backward smoothing is proposed. The forward filtering is performed by Mahler's PHD recursion. The PHD backward smoothing recursion is derived using finite set statistics (FISST) and standard...

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Bibliographic Details
Main Authors:	Mahler, R., Vo, Ba Tuong, Vo, Ba-Ngu
Format:	Journal Article
Published:	Aerospace & Electronic Systems Society 2012
Online Access:	http://hdl.handle.net/20.500.11937/47396

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