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http://dx.doi.org/10.6109/jkiice.2014.18.10.2530

Location Estimation Method Employing Fingerprinting Scheme based on K-Nearest Neighbor Algorithm under WLAN Environment of Ship  

Kim, Beom-Mu (Department of Electronics Engineering, Mokpo National University)
Jeong, Min A (Department of Computer Engineering, Mokpo National University)
Lee, Seong Ro (Department of Information & Electronics Engineering, Mokpo National University)
Abstract
Many studies have been made on location estimation under indoor environments which GPS signals do not reach, and, as a result, a variety of estimation methods have been proposed. In this paper, we deeply consider a problem of location estimation in a ship with a multi-story structure, and investigate a location estimation method using the fingerprint scheme based on the K-Nearest Neighbor algorithm. A reliable DB is constructed by measuring 100 received signals at each of 39 RPs in order to employ the fingerprint scheme, and, based on the DB, a simulation to estimate the location of a randomly-positioned terminal is performed. The simulation result confirms that the performance of location estimation by the fingerprint scheme is quite satisfactory.
Keywords
GPS signal; Indoor environment of ship; K-Nearest Neighbor algorithm; Fingerprint scheme; Location estimation method;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
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