Efficient importance sampling function design for sequential Monte Carlo PHD filter

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Efficient importance sampling function design for sequential Monte Carlo PHD filter

In this paper, we propose a novel implementation of the probability hypothesis density (PHD) filter based on the sequential Monte Carlo (SMC) method called SMC-PHD filter. The SMC-PHD filter is analogous to the sequential importance sampling which generates samples using an importance sampling (IS)...

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Bibliographic Details
Main Authors:	Hong Yoon, J., Kim, Du Yong, Yoon, K.
Format:	Journal Article
Published:	Elsevier BV 2012
Online Access:	http://hdl.handle.net/20.500.11937/56383

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