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dc.contributor.authorWang, Y
dc.contributor.authorChen, Wei
dc.contributor.authorWassell, Ian
dc.date.accessioned2015-10-02T14:09:10Z
dc.date.available2015-10-02T14:09:10Z
dc.date.issued2013
dc.identifier.citationIEEE Global Communications Conference 2013, 1119-1124. doi: 10.1109/GLOCOM.2013.6831224
dc.identifier.isbn9781479913534
dc.identifier.issn2334-0983
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/251287
dc.description.abstractIn this paper, we propose a novel Compressive Sensing (CS)-enhanced spectrum sensing approach for Cognitive Radio (CR) systems. The new framework enables cyclic feature detection with a significantly reduced sampling rate. We associate the new framework with a novel model-based greedy reconstruction algorithm: interdependent matching pursuit (IMP). For IMP, the hidden block sparsity owing to the symmetry present in the cyclic spectrum is exploited which effectively reduces the degree of freedom of problem. Compared with conventional CS with independent support selection, a remarkable spectrum reconstruction improvement is achieved by IMP.
dc.description.sponsorshipThe work of Wei Chen is supported by the State Key Laboratory of Rail Traffic Control and Safety (No. RCS2012ZT014), Beijing Jiaotong University, and the Key grant Project of Chinese Ministry of Education (No.313006).
dc.languageEnglish
dc.language.isoen
dc.publisherIEEE
dc.titleExploiting hidden block sparsity: Interdependent matching pursuit for cyclic feature detection
dc.typeConference Object
dc.description.versionThis is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/GLOCOM.2013.6831224
prism.endingPage1124
prism.publicationDate2013
prism.publicationNameGLOBECOM - IEEE Global Telecommunications Conference
prism.startingPage1119
rioxxterms.versionofrecord10.1109/GLOCOM.2013.6831224
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2013-12-13
dc.contributor.orcidWassell, Ian [0000-0001-7927-5565]
dc.publisher.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6821297
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/K033700/1)
pubs.conference-name2013 IEEE Global Communications Conference (GLOBECOM 2013)
pubs.conference-start-date2013-12-09
pubs.conference-finish-date2013-12-13


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