dc.creatorKornuta, Carlos Antonio
dc.creatorAcosta, Héctor Nelson
dc.creatorToloza, Juan Manuel
dc.date.accessioned2016-08-09T20:32:02Z
dc.date.accessioned2018-11-06T12:27:56Z
dc.date.available2016-08-09T20:32:02Z
dc.date.available2018-11-06T12:27:56Z
dc.date.created2016-08-09T20:32:02Z
dc.date.issued2013-12
dc.identifierKornuta, Carlos Antonio; Acosta, Héctor Nelson; Toloza, Juan Manuel; Indoor Positioning Using the Modified Fingerprint Technique; IJIRCCE; International Journal of Innovative Research in Computer and Communication Engineering; 1; 10; 12-2013; 2282-2290
dc.identifier2320-9801
dc.identifierhttp://hdl.handle.net/11336/7034
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1866918
dc.description.abstractThe Wi-Fi positioning systems available for enclosed spaces use the existing network infrastructure to calculate the position of the mobile device (MD). The most commonly used parameter is RSSI (Received Signal Strength Indicator). In this paper, we analyze the Fingerprint technique considering some variations aimed at improving the accuracy of the technique and minimizing calculation time. Significant field work is carried out, analyzing the accuracy achieved with each technique.
dc.languageeng
dc.publisherIJIRCCE
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.ijircce.com/upload/2013/december/2_Indoor.pdf
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectINDOOR POSITIONING
dc.subjectWIRELESS LAN
dc.subjectRSSI
dc.subjectFINGERPRINT
dc.titleIndoor Positioning Using the Modified Fingerprint Technique
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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