DocumentCode
1442602
Title
A Single-Base-Station Localization Approach Using a Statistical Model of the NLOS Propagation Conditions in Urban Terrain
Author
Tsalolikhin, Evgeny ; Bilik, Igal ; Blaunstein, Nathan
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA, USA
Volume
60
Issue
3
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
1124
Lastpage
1137
Abstract
Implementation of the Federal Communications Commission´s (FCC) E-911 Phase-2 requirements and commercial location-based services in urban environments requires mobile station (MS) localization capabilities in non-line-of-sight (NLOS) propagation conditions. This work addresses the problem of MS localization in urban environments characterized by the NLOS propagation conditions and limited Global Positioning System (GPS) services. We propose a single-base-station-based localization approach that uses a statistical model of urban propagation conditions in the framework of target classification. The proposed localization approach involves no data collection during the training process, requires no modifications of the MS hardware, is not location specific, and requires no identification and mitigation of the NLOS conditions. The performance of the proposed localization approach was evaluated using collected and ray-traced measurements.
Keywords
Global Positioning System; mobile radio; radiowave propagation; statistical analysis; NLOS propagation condition; commercial location-based service; global positioning system service; mobile station localization; nonline of sight propagation condition; ray traced measurement; single base station localization; statistical model; target classification; training process; urban environment; urban propagation condition; Bandwidth; Buildings; Estimation; Kernel; Scattering; Training; Urban areas; Enhanced 911 (E-911); location-based services (LBSs); mobile station (MS) localization; non-line-of-sight (NLOS) propagation conditions; single-base-station-based localization; stochastic propagation model;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2011.2111393
Filename
5708185
Link To Document