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In this paper, the authors propose a three-phase methodology (measurement, calibration and estimation) for locating Mobile Stations (MS) in an indoor environment using wireless technology. Their solution is a fingerprint-based positioning system that overcomes the problem of the relative effect of doors and walls on signal strength and is independent of network device manufacturers. In the measurement phase, their system collects Received Signal Strength Indicator (RSSI) measurements from multiple access points. In the calibration phase, their system utilizes these measurements in a normalization process to create a radio map, a database of RSS patterns.
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