A novel algorithm for MIMO signal classification using higher-order cumulants

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dc.authorid0000-0001-7797-8339
dc.authorid0000-0001-8528-0512
dc.authorid0009-0007-8693-9260
dc.contributor.authorMuehlhaus, Michael S.en_US
dc.contributor.authorÖner, Mustafa Mengüçen_US
dc.contributor.authorDobre, Octavia Adinaen_US
dc.contributor.authorJaekel, Holger U.en_US
dc.contributor.authorJondral, Friedrich K.en_US
dc.date.accessioned2016-04-04T07:39:23Z
dc.date.available2016-04-04T07:39:23Z
dc.date.issued2013
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractAutomatic modulation classification (AMC) of unknown communications signals is employed in both commercial and military applications, such as cognitive radio, spectrum surveillance, and electronic warfare. Most of the AMC methods proposed in the literature are developed for systems with a single transmit antenna. In this paper, an AMC algorithm for multiple-input multiple-output (MIMO) signals is proposed, which is based on higher-order cumulants. The use of cumulants with different orders, as well as their combinations as feature vectors are investigated. The ideal case of a priori knowledge of the channel state information (CSI) is considered, along with a setting of practical relevance, where the channel matrix is blindly estimated through independent component analysis. The performance of the proposed algorithm with different features is evaluated through simulations and compared with that of the average likelihood ratio test (ALRT).en_US
dc.description.sponsorshipThis work was partially supported by the TUBITAK (The Scientific and Technological Research Council of Turkey) grant no: 112E020en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationMuhlhaus, M. S., Öner, M. M., Dobre, O. A., Jakel, H. U. & Jondral, F. K. (2013). A novel algorithm for MIMO signal classification using higher-order cumulants. Paper presented at the 2013 IEEE Radio and Wireless Symposium, 7-9. doi:10.1109/RWS.2013.6486623en_US
dc.identifier.doi10.1109/RWS.2013.6486623
dc.identifier.endpage9
dc.identifier.isbn9781467329323
dc.identifier.isbn9781467329293
dc.identifier.isbn9781467329309
dc.identifier.isbn9781467329316
dc.identifier.issn2164-2958
dc.identifier.issn2164-2974
dc.identifier.scopus2-s2.0-84876764030
dc.identifier.scopusqualityN/A
dc.identifier.startpage7
dc.identifier.urihttps://hdl.handle.net/11729/790
dc.identifier.urihttp://dx.doi.org/10.1109/RWS.2013.6486623
dc.identifier.wosWOS:000320762900003
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorÖner, Mustafa Mengüçen_US
dc.institutionauthorid0000-0001-7797-8339
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.journal2013 IEEE Radio and Wireless Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutomatic modulation classificationen_US
dc.subjectMultiple-input multiple-outputen_US
dc.subjectIndependent component analysisen_US
dc.subjectBlind source separationen_US
dc.subjectHigher-order cumulantsen_US
dc.titleA novel algorithm for MIMO signal classification using higher-order cumulantsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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