Nondata-aided joint channel estimation and equalization for OFDM systems in very rapidly varying mobile channels

dc.contributor.authorŞenol, Habib
dc.contributor.authorPanayırcı, Erdal
dc.contributor.authorPoor, H. Vincent
dc.date.accessioned2019-06-27T08:04:01Z
dc.date.available2019-06-27T08:04:01Z
dc.date.issued2012
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis paper is concerned with the challenging and timely problem of joint channel estimation and equalization for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and very rapidly time varying channels. The resulting algorithm is based on the space alternating generalized expectation maximization-maximum a posteriori probability (SAGE-MAP) technique which is particularly well suited to multicarrier signal formats. The algorithm is implemented in the time-domain which enables one to use the Gaussian approximation of the transmitted OFDM samples. Consequently the averaging process of the nonpilot data symbols becomes analytically possible resulting in a feasible and computationally efficient channel estimation algorithm leading to a receiver structure that yields also an equalized output from which the data symbols are detected with excellent symbol error rate (SER) performance. Based on this Gaussian approximation the exact Bayesian Cramer Rao lower bound (CRLB) as well as the convergence rate of the algorithm are derived analytically. To reduce the computational complexity of the algorithm discrete Legendre orthogonal basis functions are employed to represent the rapidly time-varying fading channel. It is shown that depending on the normalized Doppler frequency only a small number of expansion coefficients is sufficient to approximate the channel very well and there is no need to know the correlation function of the input signal. The computational complexity of the algorithm is shown to be similar to O(NL) per detected data symbol and per SAGE-MAP algorithm cycle where N is the number of OFDM subcarriers and L is the number of multipath components.en_US]
dc.identifier.citation35
dc.identifier.doi10.1109/TSP.2012.2195657en_US
dc.identifier.endpage4253
dc.identifier.issn1053-587Xen_US
dc.identifier.issn1053-587X
dc.identifier.issue8
dc.identifier.scopus2-s2.0-84863953708en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage4236en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/879
dc.identifier.urihttps://doi.org/10.1109/TSP.2012.2195657
dc.identifier.volume60en_US
dc.identifier.wosWOS:000306517300024en_US
dc.identifier.wosqualityQ1
dc.institutionauthorŞenol, Habiben_US
dc.institutionauthorPanayirci, Erdalen_US
dc.language.isoenen_US
dc.publisherIEEE-INST Electrical Electronics Engineers Incen_US
dc.relation.journalIEEE Transactions on Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBasis expansion model (BEM)en_US
dc.subjectJoint channel estimation and equalizationen_US
dc.subjectOrthogonal Frequency-Division Multiplexing (OFDM)en_US
dc.subjectRapidly varying wireless channelsen_US
dc.subjectSAGE-MAP algorithmen_US
dc.titleNondata-aided joint channel estimation and equalization for OFDM systems in very rapidly varying mobile channelsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication2c09cda4-9d83-4836-8695-b36fc6c9c4ec
relation.isAuthorOfPublication5371ab5d-9cd9-4d1f-8681-a65b3d5d6add
relation.isAuthorOfPublication.latestForDiscovery2c09cda4-9d83-4836-8695-b36fc6c9c4ec

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