Two stage prediction and update particle filter with correlated noise in multi-sensor observation

Abstract

Particle filter realizes recursive Bayesian filter via Monte Carlo simulation. The method is suitable for any non-linear system that could be represented with state model. However, the precision of particle filter depends mainly on two key factors, the effective sampling of particles state and the reasonable measuring of particles weight. In addition… (More)

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