Signal identification for multiple-antenna wireless systems: achievements and challenges

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dc.authorid0000-0001-8528-0512
dc.authorid0000-0001-7797-8339
dc.contributor.authorEldemerdash, Yahia A.en_US
dc.contributor.authorDobre, Octavia Adinaen_US
dc.contributor.authorÖner, Mustafa Mengüçen_US
dc.date.accessioned2016-02-24T09:50:57Z
dc.date.available2016-02-24T09:50:57Z
dc.date.issued2016-01-18
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractSignal identification is an umbrella term for signal processing techniques designed for the identification of the transmission parameters of unknown or partially known communication signals. Initially a key technology for military applications such as signal interception, radio surveillance and electronic warfare, signal identification techniques recently found applications in commercial wireless communications as an enabling technology for cognitive receivers. With the advance and rapid adoption of multiple-input multiple-output (MIMO) communication systems in the last decade, extension of signal identification methods to include this transmission paradigm has become a priority and focus of intensive research efforts. The aim of this work is to provide a comprehensive state-of-the-art survey on algorithms proposed for the new and challenging signal identification problems specific to MIMO systems, including space-time block code (STBC) identification, MIMO modulation identification, and detection of the number of transmit antennas. Finally, concluding remarks on MIMO signal identification are provided along with an outline of the open problems and future research directions.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖner, M. M., Eldemerdash, Y. A. & Dobre, O. A. (2016). Signal identification for multiple-antenna wireless systems: achievements and challenges. IEEE Communications Surveys And Tutorials, 18(3), 1524-1551. doi: 10.1109/COMST.2016.2519148en_US
dc.identifier.doi10.1109/COMST.2016.2519148
dc.identifier.endpage1551
dc.identifier.issn1553-877X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84984801374
dc.identifier.scopusqualityQ1
dc.identifier.startpage1524
dc.identifier.urihttps://hdl.handle.net/11729/759
dc.identifier.urihttp://dx.doi.org/10.1109/COMST.2016.2519148
dc.identifier.volume18
dc.identifier.wosWOS:000384887100002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)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.ispartofIEEE Communications Surveys And Tutorialsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCognitive radioen_US
dc.subjectDetection of the number of transmit antennasen_US
dc.subjectIntelligent radiosen_US
dc.subjectModulation identificationen_US
dc.subjectMultiple-input multiple-output (MIMO)en_US
dc.subjectOrthogonal frequency division multiplexing (OFDM)en_US
dc.subjectSingle carrier (SC) signalsen_US
dc.subjectSpacetime block code (STBC)en_US
dc.subjectSTBC identificationen_US
dc.subjectBlind modulation classificationen_US
dc.subjectTime block-codesen_US
dc.subjectInformation-theoretic criteriaen_US
dc.subject2nd-order cyclostationarityen_US
dc.subjectMIMO-OFDMen_US
dc.subjectPerformance analysisen_US
dc.subjectMaximum-likelihooden_US
dc.subjectSource enumerationen_US
dc.subjectMassive MIMOen_US
dc.titleSignal identification for multiple-antenna wireless systems: achievements and challengesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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