MIMO Mobile Terminal Tracking Using Bayesian Probability Estimation

We present a simple and efficient way of tracking a mobile terminal (MT) using multiple antennas at the transmitter and the receiver. We consider the double directional model and use the Bayesian framework in order to estimate the speed and direction of the MT. We show in particular how to exploit the space dimension, inherently present in a MIMO system, to increase the estimation accuracy. In contrast to the majority of solutions that have been proposed so far for MT localization and tracking, this new method is suitable for a non-line-of-sight (NLoS) propagation scenario and employs only one base station (BS).