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dc.contributor.authorSvanda, M.
dc.contributor.authorKvicera, M.
dc.contributor.authorPolivka, M.
dc.date.accessioned2018-11-23T09:26:52Z
dc.date.available2018-11-23T09:26:52Z
dc.date.issued2018-09cs
dc.identifier.citationRadioengineering. 2018 vol. 27, č. 3, s. 762-769. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/137034
dc.description.abstractThis paper deals with the investigation of space diversity techniques for elimination of signal fading and consequently extension of coverage area in applications of RF identification of shadowed people in a building corridor. Several measurement scenarios were evaluated. They comprised up to four wearable tags placed at different positions on a human body with one or two reader antennas, including shadowing by a small crowd of people. It was shown that the achieved corresponding SIMO mode diversity gain accounted for ca. 1 dB at the overall improvement in the trace coverage amounted to ca. 5%. On the other hand, the MIMO mode diversity configuration brought an improvement of up to 10% and enabled to cover more than 50% of the identification area, including the scenario where shadowing by a small crowd of people was present.en
dc.formattextcs
dc.format.extent762-769cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2018/18_03_0762_0769.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectPatch antennaen
dc.subjectradiofrequency identificationen
dc.subjectspace diversityen
dc.titleReliability Improvement of RF Identification of Shadowed People in Building Corridors Using Space Diversityen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue3cs
dc.coverage.volume27cs
dc.identifier.doi10.13164/re.2018.0762en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International license