Fingerprinting Localization in Wireless Networks Based on Received-Signal-Strength Measurements: A Case Study on WiMAX Networks

Date

2010-01-01

Author

Bshara, Mussa
Orguner, Umut
Gustafsson, Fredrik
Van Biesen, Leo

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

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

URI

https://hdl.handle.net/11511/39586

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Department of Electrical and Electronics Engineering, Article