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• W2356556562 abstract "This paper considers the problem of fingerprint- ing localization in WiMAX networks based on received signal strength (RSS) observations. First, the performance of static localization using power maps (PM) is improved with a new approach called base station strict (BS-strict) methodology which emphasizes the effect of BS identities in the classical finger- printing. 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 on an example whose data were collected from a WiMAX network in a challenging urban area in the Brussels capitol city. Index Terms—Fingerprinting, GPS, GSM, mesh networks, nav- igation, LBS, path loss model, positioning, positioning accuracy, power maps, received signal strength, road network information, RSS, timing adjust, timing advance, WiMAX." @default.
• W2356556562 created "2016-06-24" @default.
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• W2356556562 date "2009-01-01" @default.
• W2356556562 modified "2023-09-27" @default.
• W2356556562 title "Fingerprinting Localization in WiMAX Networks based on Received Signal Strength Measurements" @default.
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