Database Correlation using Bayes Filter for Mobile Terminal Localization in GSM Suburban Environments (2006)
Khalaf-Allah M, Kyamakya K (2006)
Publication Type: Conference contribution, Original article
Publication year: 2006
Original Authors: M. Khalaf-Allah, K. Kyamakya
Series: 2006 IEEE 63rd Vehicular Technology Conference
Conference Proceedings Title: Vehicular Technology Conference
Event location: Melbourne, VIC
DOI: 10.1109/VETECS.2006.1682934
Abstract
Database Correlation using Bayes Filter for Mobile TerIn 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 Germanyminal Localization in GSM Suburban Environments
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Austria (AT)
Germany (DE)How to cite
APA:
Khalaf-Allah, M., & Kyamakya, K. (2006). Database Correlation using Bayes Filter for Mobile Terminal Localization in GSM Suburban Environments (2006). In Vehicular Technology Conference. Melbourne, VIC, AU.
MLA:
Khalaf-Allah, Mohamed, and Kyandoghere Kyamakya. "Database Correlation using Bayes Filter for Mobile Terminal Localization in GSM Suburban Environments (2006)." Proceedings of the 2006 IEEE 63rd Vehicular Technology Conference, Melbourne, VIC 2006.
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