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dc.contributor.authorGörçin, Ali
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned10.07.201910:49:13
dc.date.accessioned2019-07-10T19:56:20Z
dc.date.available10.07.201910:49:13
dc.date.available2019-07-10T19:56:20Z
dc.date.issued2015en_US
dc.identifier.citationGörçin, A. ve Arslan, H. (2015). An OFDM signal identification method for wireless communications systems. IEEE Transactions on Vehicular Technology, 64(12), 5688-5700. https://dx.doi.org/10.1109/TVT.2015.2388671en_US
dc.identifier.issn0018-9545
dc.identifier.issn1939-9359
dc.identifier.urihttps://dx.doi.org/10.1109/TVT.2015.2388671
dc.identifier.urihttps://hdl.handle.net/20.500.12511/2670
dc.descriptionWOS: 000367547700024en_US
dc.description.abstractDistinction of orthogonal frequency-division multiplexing (OFDM) signals from single-carrier signals is highly important for adaptive receiver algorithms and signal identification applications. OFDM signals exhibit Gaussian characteristics in the time domain, and fourth-order cumulants of Gaussian distributed signals vanish, in contrast to the cumulants of other signals. Thus, fourth-order cumulants can be utilized for OFDM signal identification. In this paper, first, formulations of the estimates of the fourth-order cumulants for OFDM signals are provided. Then, it is shown that these estimates are significantly affected by wireless channel impairments, frequency offset, phase offset, and sampling mismatch. To overcome these problems, a general chi-square constant false-alarm rate Gaussianity test, which employs estimates of cumulants and their covariances, is adapted to the specific case of wireless OFDM signals. Estimation of the covariance matrix of the fourth-order cumulants is greatly simplified, peculiar to the OFDM signals. A measurement setup is developed to analyze the performance of the identification method and for comparison purposes. A parametric measurement analysis is provided, depending on modulation order, signal-to-noise ratio, number of symbols, and degree of freedom of the underlying test. The proposed method outperforms statistical tests that are based on fixed thresholds or empirical values, whereas the a priori information requirement and complexity of the proposed method are lower than the coherent identification techniques.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectAdaptive Receiversen_US
dc.subjectCognitive Radiosen_US
dc.subjectFrequency Shift Keying (FSK)en_US
dc.subjectOrthogonal Frequency Division Multiplexing (OFDM)en_US
dc.subjectPhase Shift Keying (PSK)en_US
dc.subjectQuadrature Amplitude Modulation (QAM)en_US
dc.subjectSignal Identificationen_US
dc.subjectSpectrum Sensingen_US
dc.titleAn OFDM signal identification method for wireless communications systemsen_US
dc.typearticleen_US
dc.relation.ispartofIEEE Transactions on Vehicular Technologyen_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0001-9474-7372en_US
dc.identifier.volume64en_US
dc.identifier.issue12en_US
dc.identifier.startpage5688en_US
dc.identifier.endpage5700en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/TVT.2015.2388671en_US
dc.identifier.wosqualityQ1en_US
dc.identifier.scopusqualityQ1en_US


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