This paper considers mobility tracking in wireless communication networks based on received signal strength indicator measurements. Mobility tracking involves on-line estimation of the position and speed of a mobile unit. Mobility tracking is formulated as an estimation problem of a hybrid system consisting of a base state vector and a modal state vector. The command is modelled as a first-order Markov process which can take values from a finite set of acceleration levels. In order to cover the wide range of acceleration changes, a set of acceleration values is predetermined. Sequential Monte Carlo algorithms – a particle filter (PF) and a Rao-Blackwellised particle filter (RBPF) are proposed and their performance evaluated over a synthetic data example.
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