Title :
Stamp Accuracy Enhancement Through Received Signal Strength Adaptive Kalman Filtering
Author :
Markoulidakis, J.G. ; Desiniotis, C. ; Nikolaidis, D.
Author_Institution :
Vodafone-Panafon S.A. Technol., Athens
Abstract :
In this paper we present a novel method for improving the terminal position estimation that the standard mobile network positioning techniques based on Received Signal Strength (RSS) provide, using a statistical filtering approach. The proposed method extends the STAMP concept by applying an adaptive Kalman filtering mechanism to the RSS values measured by the mobile terminal. The implementation of the method requires only additional software functionality while the extensive analysis based on a simulation model revealed significant accuracy improvement.
Keywords :
adaptive Kalman filters; mobility management (mobile radio); statistical analysis; accuracy enhancement; received signal strength adaptive Kalman filtering; standard mobile network positioning techniques; statistical filtering approach; terminal position estimation; Adaptive filters; Costs; Filtering; GSM; Global Positioning System; Investments; Kalman filters; Land mobile radio; Position measurement; Research and development; Historical Data; Mobile Positioning; Statistical Processing;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
DOI :
10.1109/PIMRC.2007.4394031
