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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