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In this paper a fast database correlation algorithm is proposed for the localization of mobile stations in wireless metropolitan area networks. The algorithm is entirely based on built-in functionalities of mobile nodes. The set of measured parameters used for localization is called radio-frequency fingerprint. To provide a position estimate, it is correlated with a database built from field measurements or propagation modeling. The latter alternative was selected, as it allows a less expensive and faster database update. A novel use of the round trip delay to reduce the correlation space and improve positioning accuracy is presented.
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