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dc.contributor.author Choi, Jae Sung -
dc.contributor.author Kang, Hee Kuk -
dc.contributor.author Kim, Jung Eun -
dc.contributor.author Lee, Dong Ha -
dc.contributor.author Lee, Hyun -
dc.date.available 2017-07-11T08:01:54Z -
dc.date.created 2017-06-25 -
dc.date.issued 2012 -
dc.identifier.isbn 9788988678671 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3887 -
dc.description.abstract Location sensing of physical objects is critical in many applications. Passive UHF Far-Field Radio Frequency Identification (RFID) technique provides an efficient solution due to its cost efficiency and simple identification procedure. In this paper we study the localization problem using passive UHF RFID systems under multi-reader and antenna conditions. We discuss practical characteristics of a passive UHF RFID system. We propose novel algorithms to minimize the number of ambiguous tag points against a single RSSI value from a target tag and increase accuracy of location estimation in 2D grid space. According to the analysis of our experiment results, our proposed approach shows maximum 49.8% improvement compared with the conventional k-Nearest Neighbor algorithm in a test frame. © 2012 AICIT. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.relation.ispartof Proceedings - 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012 -
dc.title Object localization using intended signal blocking in passive UHF far-field systems -
dc.type Conference Paper -
dc.identifier.scopusid 2-s2.0-84867021999 -
dc.identifier.bibliographicCitation 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012, v.1, pp.510 - 514 -
dc.citation.conferenceDate 2012-04-24 -
dc.citation.conferencePlace US -
dc.citation.conferencePlace Seoul -
dc.citation.endPage 514 -
dc.citation.startPage 510 -
dc.citation.title 2012 8th International Conference on Computing Technology and Information Management, ICCM 2012 -
dc.citation.volume 1 -
dc.type.docType Conference Paper -
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Division of Intelligent Robotics 2. Conference Papers

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