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dc.contributor.authorLagunas Targarona, Eva
dc.contributor.authorNájar Martón, Montserrat
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2015-04-24T13:34:35Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationLagunas, E.; Najar, M. Compressed spectrum sensing in the presence of interference: comparison of sparse recovery strategies. A: European Signal Processing Conference. "2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO): 1-5 September 2014: Lisbon, Portugal". Lisbon: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 1721-1725.
dc.identifier.isbn978-0-9928626-1-9
dc.identifier.urihttp://hdl.handle.net/2117/27585
dc.description.abstractExisting approaches to Compressive Sensing (CS) of sparse spectrum has thus far assumed models contaminated with noise (either bounded noise or Gaussian with known power). In practical Cognitive Radio (CR) networks, primary users must be detected even in the presence of low-regulated transmissions from unlicensed systems, which cannot be taken into account in the CS model because of their non-regulated nature. In [1], the authors proposed an overcomplete dictionary that contains tuned spectral shapes of the primary user to sparsely represent the primary users' spectral support, thus allowing all frequency location hypothesis to be jointly evaluated in a global unified optimization framework. Extraction of the primary user frequency locations is then performed based on sparse signal recovery algorithms. Here, we compare different sparse reconstruction strategies and we show through simulation results the link between the interference rejection capabilities and the positive semidefinite character of the residual autocorrelation matrix.
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::Processament del senyal
dc.subject.lcshCognitive radio
dc.subject.lcshSignal processing
dc.subject.otherCognitive radio
dc.subject.otherCompressed sensing
dc.subject.otherInterference suppression
dc.subject.otherRadio spectrum management
dc.subject.otherSignal detection
dc.titleCompressed spectrum sensing in the presence of interference: comparison of sparse recovery strategies
dc.typeConference report
dc.subject.lemacRàdio cognitiva
dc.subject.lemacTractament del senyal
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=6952624
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15576953
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorLagunas, E.; Najar, M.
upcommons.citation.contributorEuropean Signal Processing Conference
upcommons.citation.pubplaceLisbon
upcommons.citation.publishedtrue
upcommons.citation.publicationName2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO): 1-5 September 2014: Lisbon, Portugal
upcommons.citation.startingPage1721
upcommons.citation.endingPage1725


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