Bayesian mobile location in cellular networks

Determining the location of mobile stations could be achieved by collecting signal strength measurements and correlating them to pre-calculated signal strength values at reference locations. This method is advantageous, because no LOS conditions are needed, it can work even with one base station (BS), and its implementation costs are pretty low. However, the correlation process needs an appropriate likelihood function such as that provided by Bayesian statistical estimation approaches. They use all available information surrounding candidate hypotheses to determine their likelihoods. In this paper, we present a Bayesian mobile location algorithm, and show its performance by field measurements in a working GSM network.