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.