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dc.contributor.authorBozovic, R.
dc.contributor.authorSimic, M.
dc.contributor.authorPejovic, P.
dc.contributor.authorDukic, M. L.
dc.date.accessioned2018-06-18T10:29:50Z
dc.date.available2018-06-18T10:29:50Z
dc.date.issued2017-12cs
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 4, s. 1104-1109. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/82941
dc.description.abstractSpectrum sensing is the most important process in cognitive radio in order to ensure interference avoidance to primary users. For optimal performance of cognitive radio, it is substantial to monitor and promptly react to dynamic changes in its operating environment. In this paper, energy detector based spectrum sensing is considered. Under the assumption that detected signal can be modelled according to an autoregressive model, noise variance is estimated from that noisy signal, as well as primary user signal power. A closed-form solution for optimal decision threshold in dynamic electromagnetic environment is proposed and analyzed.en
dc.formattextcs
dc.format.extent1104-1109cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2017/17_01_1104_1109.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectCognitive radioen
dc.subjectenergy detectoren
dc.subjectnoise variance estimationen
dc.subjectspectrum sensingen
dc.subjectthreshold adaptationen
dc.titleThe Analysis of Closed-form Solution for Energy Detector Dynamic Threshold Adaptation in Cognitive Radioen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume26cs
dc.identifier.doi10.13164/re.2017.1104en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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