Abstract: In this article, the particle filtering problem is investigated for nonlinear systems with correlated noise and missing measurements (MMs). By accounting for both correlated noise and MMs, a ...

Abstract: This paper proposes an indoor positioning method that enhances the particle filter through an improved tuna swarm optimization algorithm to address the challenges of low precision and ...

We present an offline, iterated particle filter to facilitate statistical inference in general state space hidden Markov models. Given a model and a sequence of observations, the associated marginal ...