A Gaussian Mixture PHD Filter for Jump Markov System Models

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A Gaussian Mixture PHD Filter for Jump Markov System Models

The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown and time-varying number of targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. The PHD filter admits a closed-form solution for a linear Gaussian multi-tar...

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Bibliographic Details
Main Authors:	Pasha, S., Vo, Ba-Ngu, Tuan, H., Ma, W.
Format:	Journal Article
Published:	IEEE 2009
Online Access:	http://hdl.handle.net/20.500.11937/30818

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