NDLI: Database Correlation for GSM Location in Outdoor & Indoor Environments

Content Provider	IEEE Xplore Digital Library
Author	Lakmali, B.D.S. Dias, D.
Copyright Year	2008
Description	Author affiliation: Dialog-Univ. of Moratuwa Mobile Commun. Res. Lab., Univ. of Moratuwa, Moratuwa (Lakmali, B.D.S.) \|\| Dept. of Electron. & Telecommun. Eng., Univ. of Moratuwa, Moratuwa (Dias, D.)
Abstract	Estimation of the location of a Mobile Station accurately is a key requirement to effectively provide a wide range of Location Based Services over mobile networks. Hence developing cellular positioning techniques has been a key research problem, with numerous localization solutions been proposed. These include technologies such as Cell ID, angle and time of arrival methods, statistical methods and fingerprinting methods. This paper presents fingerprinting based positioning techniques suitable for outdoor and indoor positioning. Multiple positioning techniques were proposed, implemented and evaluated with outdoor and indoor trials. The ultimate solution proposed in this paper is not a single positioning technique; rather it presents several positioning techniques that achieve optimum performance in each test environment. The results reports 67% positioning error as 112 m, 299 m and 221 m for urban, suburban and rural areas respectively. Experimental results show that the proposed positioning methods achieve accuracy far better than Cell-ID and trilateration approaches for the tested network environments especially for rural areas. The 67% positioning error for rural area is 1045 m and 1386 m with basic Cell-ID and trilateration techniques while proposed fingerprinting based technique reports 67% positioning error as 221m. With indoor positioning this paper reports 50% positioning error as 8.7 m and also it was possible to accurately differentiate between floors in the selected multi storey building.
Starting Page	42
Ending Page	47
File Size	285271
Page Count	6
File Format	PDF
ISBN	9781424428991
DOI	10.1109/ICIAFS.2008.4783992
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GSM Laboratories Indoor environments Fingerprint recognition Mobile communication Indoor Positioning Mobile handsets Signal resolution Network servers Outdoor Positioning Databases Database Correlation Testing
Content Type	Text
Resource Type	Article

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