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dc.contributor.authorLagunas, Eva
dc.contributor.authorNájar Martón, Montserrat
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2014-03-17T13:26:19Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationLagunas, E.; Najar, M. Compressive spectrum sensing based on spectral shape feature detection. A: International Symposium of Wireless Communication Systems. "ISWCS 2013:the tenth International Symposium on Wireless Communication Systems: Ilmenau, Germany: August 27-30, 2013". Ilmenau: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 1-5.
dc.identifier.isbn978-3-8007-3529-7
dc.identifier.urihttp://hdl.handle.net/2117/22155
dc.description.abstractIn this paper, we address sparsity-based spectrum sensing for Cognitive Radio (CR) applications. Motivated by the sparsity described by the low spectral occupancy of the licensed radios, the proposed approach utilizes the novel Compressive Sensing (CS) technique to alleviate the sampling burden in CR when processing very wide bandwidth. Instead of detecting underutilized subbands of the radio spectrum, this paper propose a feature-based strategy to detect the licensed holder activity from compressive measurements. The procedure follows the framework of correlation matching, changing the traditional single frequency scan to a spectral scan with the a priori known spectral shape of the licensed holder. In addition to the frequencylocation estimate, the proposed technique is able to provide a power-level estimate and an estimation of the angle-of-arrival (AoA) of the primary users by circumventing the complex nonlinear CS reconstruction.
dc.format.extent5 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
dc.subject.lcshWireless communication systems
dc.subject.lcshCognitive radio networks
dc.titleCompressive spectrum sensing based on spectral shape feature detection
dc.typeConference report
dc.subject.lemacComunicació sense fil, Sistemes de
dc.subject.lemacRàdio cognitiva
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6629713
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac13434634
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLagunas, E.; Najar, M.
local.citation.contributorInternational Symposium of Wireless Communication Systems
local.citation.pubplaceIlmenau
local.citation.publicationNameISWCS 2013:the tenth International Symposium on Wireless Communication Systems: Ilmenau, Germany: August 27-30, 2013
local.citation.startingPage1
local.citation.endingPage5


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