Particle filtering with adaptive number of particles

Abstract

Nonlinear/non-Gaussian dynamic systems can be tackled by a number of filtering methods. We are interested in particle filters, which perform a discrete characterization of the posterior distribution of the system based on a random set of points. The dimension of the random set is a design issue and typically large values are required to ensure proper… (More)

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