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

fYear

2007

fDate

3-7 Sept. 2007

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PIMRC.2007.4394031

Filename

4394031