Fingerprint Database Variations for WiFi Positioning

dc.creatorAcosta, Nelson
dc.creatorToloza, Juan Manuel
dc.creatorKornuta, Carlos Antonio
dc.date.accessioned2016-08-09T20:32:35Z
dc.date.accessioned2018-11-06T15:26:02Z
dc.date.available2016-08-09T20:32:35Z
dc.date.available2018-11-06T15:26:02Z
dc.date.created2016-08-09T20:32:35Z
dc.date.issued2013-12
dc.identifierAcosta, Nelson; Toloza, Juan Manuel; Kornuta, Carlos Antonio; Fingerprint Database Variations for WiFi Positioning; IJCT Foundation; International Journal of Computer & Technology; 11; 10; 12-2013; 3101-3107
dc.identifier2277-3061
dc.identifierhttp://hdl.handle.net/11336/7035
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1897077
dc.description.abstractIndoor positioning systems calculate the position of a mobile device (MD) in an enclosed environment with relative precision. Most systems use WiFi infrastructure and several positioning techniques, where the most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the fingerprinting technique to calculate the error window obtained with the Euclidian distance as main metric. Build variations are presented for the Fingerprint database analyzing various statistical values to compare the precision achieved with different indicators.
dc.languageeng
dc.publisherIJCT Foundation
dc.relationinfo:eu-repo/semantics/altIdentifier/ark/http://www.cirworld.com/index.php/ijct/issue/view/262
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectINDOOR POSITIONING
dc.subjectRSSI
dc.subjectFINGERPRINT
dc.titleFingerprint Database Variations for WiFi Positioning
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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