Öner, Mustafa MengüçEldemerdash, Yahia A.Dobre, Octavia Adina2016-02-242016-02-242016-01-18Öner, 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.2016.25191481553-877Xhttps://hdl.handle.net/11729/759http://dx.doi.org/10.1109/COMST.2016.2519148Signal 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.eninfo:eu-repo/semantics/closedAccessCognitive radioDetection of the number of transmit antennasIntelligent radiosModulation identificationMultiple-input multiple-output (MIMO)Orthogonal frequency division multiplexing (OFDM)Single carrier (SC) signalsSpacetime block code (STBC)STBC identificationBlind modulation classificationTime block-codesInformation-theoretic criteria2nd-order cyclostationarityMIMO-OFDMPerformance analysisMaximum-likelihoodSource enumerationMassive MIMOArticle18315241551Q1Q1WOS:0003848871000022-s2.0-8498480137410.1109/COMST.2016.2519148Q1