Robust mobility tracking for cellular networks

We propose a robust estimation algorithm for tracking the location and dynamic motion of a mobile unit in a cellular network. The underlying mobility model is a dynamic linear system driven by a discrete command process that determines the mobile unit´s acceleration. The command process is modeled as a semi-Markov process over a finite set of acceleration levels. Our proposed tracking algorithm is based on a modified Kalman filter in combination with an efficient hidden semi-Markov model (HSMM) estimation algorithm to estimate the parameters of the command process. Numerical results show that the proposed tracking algorithm performs accurately over a wide range of mobility parameter values