Database Correlation using Bayes Filter for Mobile Terminal Localization in GSM Suburban Environments

In this paper we present a database correlation method combined with Bayes filtering as a pattern matching technique for mobile terminal localization in GSM suburban environments. A 3D deterministic radio wave propagation prediction model is used for the database construction. Bayes filter provide a robust technique to deal with multi-hypotheses situations usually occur in cellular localization when the location dependent parameter considered is the radio power level. Furthermore, three methods used to yield a location estimate from the resulted hypotheses are presented and compared according to their performance. Results show very acceptable location accuracies relative to the considered suburban area, which is a typical environment in many populated parts of Germany