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

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2 Author(s)
Khalaf-Allah, M. ; Inst. of Commun. Eng., Hannover Univ. ; Kyamakya, K.

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

Published in:

Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd  (Volume:2 )

Date of Conference:

7-10 May 2006