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dc.contributor.authorŞenol, Habib
dc.contributor.authorCirpan, Hakan Ali
dc.contributor.authorPanayırcı, Erdal
dc.date.accessioned2019-06-28T11:11:46Z
dc.date.available2019-06-28T11:11:46Z
dc.date.issued2004
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1691
dc.description.abstractThis paper proposes a computationally efficient pilot-aided minimum mean square error (MMSE) channel estimation algorithm for OFDM systems. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and estimates uncorrelated series expansion coefficients. Moreover optimal rank reduction is achieved in the proposed approach by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We first consider the stochastic Cramer-Rao bound and derive the closed-form expression for the random KL coefficients. We then exploit the performance of the MMSE channel estimator based on the evaluation of minimum Bayesian MSE. © 2004 IEEE.en_US]
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectN/Aen_US
dc.titlePilot-aided bayesian MMSE channel estimation for OFDM systems: Algorithm and performance analysisen_US
dc.typeconferenceObjecten_US
dc.identifier.startpage2361en_US
dc.identifier.endpage2365
dc.relation.journalGLOBECOM - IEEE Global Telecommunications Conferenceen_US
dc.identifier.volume4en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.scopus2-s2.0-18144411633en_US
dc.institutionauthorŞenol, Habiben_US
dc.institutionauthorPanayirci, Erdalen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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