Particle Filter (PF) is considered as an extension of the Kalman filter to deal with non-Gaussian non-linear dynamic systems. The key idea is to construct a posterior probability by a set of hypotheses representing a potential state of the system. Sample impoverishment is the flaw of the PF techniques in the case of noisy observations. Recently… (More)