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Multivariable feedback particle filter

Published • Dec 1, 2012
NobleIDNI2P28W48R25S41
Authors:
Tao Yang
,
Richard S. Laugesen
,
Prashant G. Mehta

Abstract

In recent work it is shown that importance sampling can be avoided in the particle filter through an innovation structure inspired by traditional nonlinear filtering combined with Mean-Field Game formalisms [9], [19]. The resulting feedback particle filter (FPF) offers significant variance improveme...

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