PROJECT TITLE :

Multisensor information fusion scheme for particle filter

ABSTRACT:

A 2-stage information fusion theme is proposed for particle filter. Its main characteristic is that the multisensor data is fused not only within the likelihood model but conjointly in the stage of importance sampling. By incorporating the multisensor information in sequence, the proposal density can be refined grade by grade; thus high-quality particles and, consequently, a a lot of accurate estimate will be obtained.


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