The particle filters and their applications
Particle filtering is a Monte Carlo simulation method designed to approximate non-linear filters that estimate and track the state of a dynamic system. We present the general principle of these algorithms and show the wide domain of applications using some examples. (C) 2007 Elsevier B.V. All rights reserved.
particle filter non-linear filtering dynamic system monte carlo method sequential bayesian filtering