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dc.contributor.authorLagunas Targarona, Eva
dc.contributor.authorNájar Martón, Montserrat
dc.contributor.authorLagunas Hernandez, Miguel A.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2011-12-01T11:31:48Z
dc.date.available2011-12-01T11:31:48Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationLagunas, E.; Najar, M.; Lagunas, M. Space-time-frequency candidate methods for spectrum sensing. A: European Signal Processing Conference. "19th European Signal Processing Conference". Barcelona: 2011, p. 1234-1238.
dc.identifier.urihttp://hdl.handle.net/2117/14131
dc.description.abstractThe basic idea behind Cognitive Radio (CR) is to allow unlicensed users to utilize licensed frequency bands when they do not interfere to the primary (licensed) users. Thus, an important requirement of CR systems is to sense the spectrum in order to obtain awareness about the spectrum usage. In this paper, a new spectral estimation procedure for monitoring the radio spectrum which exploits frequency, time and angle diversity is presented. The procedure is a feature-based method able to detect predetermined spectral shape, providing at the same time an estimate of its power level, an estimate of its frequency location and an estimate of its angle of arrival. The specific spectral shape is called the candidate spectrum and gives name to the different methods.
dc.format.extent5 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshCognitive radio
dc.titleSpace-time-frequency candidate methods for spectrum sensing
dc.typeConference lecture
dc.subject.lemacRàdio cognitiva
dc.contributor.groupUniversitat Politècnica de Catalunya. A&MP - Grup de Processament d'Arrays i Sistemes Multicanal
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/index.html
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac8734734
dc.description.versionPostprint (published version)
local.citation.authorLagunas, E.; Najar, M.; Lagunas, M.
local.citation.contributorEuropean Signal Processing Conference
local.citation.pubplaceBarcelona
local.citation.publicationName19th European Signal Processing Conference
local.citation.startingPage1234
local.citation.endingPage1238


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