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Fingerprinting Localization in Wireless Networks Based on Received-Signal-Strength Measurements: A Case Study on WiMAX Networks
Vrije University Brussels, Belgium.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Vrije University Brussels, Belgium.
2010 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 59, no 1, 283-294 p.Article in journal (Refereed) Published
Abstract [en]

This paper considers the problem of fingerprinting localization in wireless networks based on received-signal-strength (RSS) observations. First, the performance of static localization using power maps (PMs) is improved with a new approach called the base-station-strict (BS-strict) methodology, which emphasizes the effect of BS identities in the classical fingerprinting. Second, dynamic motion models with and without road network information are used to further improve the accuracy via particle filters. The likelihood-calculation mechanism proposed for the particle filters is interpreted as a soft version (called BS-soft) of the BS-strict approach applied in the static case. The results of the proposed approaches are illustrated and compared with an example whose data were collected from a WiMAX network in a challenging urban area in the capitol city of Brussels, Belgium.

Place, publisher, year, edition, pages
2010. Vol. 59, no 1, 283-294 p.
Keyword [en]
Fingerprinting, Global Positioning System (GPS), Global System for Mobile Communications (GSM), Location-based service (LBS), Navigation, Path loss model, Positioning, Positioning accuracy, Power maps (PMs), Received signal strength (RSS), Road network information, SCORE, Time of arrival (TOA), WiMAX
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-53824DOI: 10.1109/TVT.2009.2030504ISI: 000273698400027OAI: diva2:292218

©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Available from: 2010-02-05 Created: 2010-02-05 Last updated: 2013-07-22

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