Discrete Mobile User Tracking Algorithm via Velocity Estimation for Microcellular Urban Environment

A novel discrete tracking algorithm for mobile user based on velocity estimation in microcellular urban environment is proposed in this paper. By partitioning the mobile path and defining each partition as a state, the proposed algorithm tracks the mobile user based on hidden Markov model (HMM). The short-time Fourier analysis of the received signal strength is employed to estimate the mobile speed. Based on averaged received power (local mean), pathless, velocity estimation and using dynamic programming technique, the proposed algorithm predicts the next state of the mobile user. The proposed tracking algorithm shows good ability to predict user mobility behavior in urban area with multipath fading and shadowing phenomena.