Data-Aided Autoregressive Sparse Channel Tracking for Ofdm Systems

dc.contributor.authorBuyuksar, Ayse Betul
dc.contributor.authorŞenol, Habib
dc.contributor.authorErküçük, Serhat
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2019-06-27T08:02:01Z
dc.date.available2019-06-27T08:02:01Z
dc.date.issued2016
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.abstractIn order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a Posteriori (SAGE-MAP) based channel estimation algorithm is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems for Autoregressive (AR) modeled time-varying sparse channels. Also an initialization algorithm has been developed from the widely used sparse approximation algorithm Orthogonal Matching Pursuit (OMP) since the performance of SAGE algorithm strictly depends on initialization. The results show that multipath delay positions can be tracked successfully for every time instant using the proposed SAGE-MAP based approach.en_US]
dc.identifier.citation1
dc.identifier.doi10.1109/ISWCS.2016.7600941en_US
dc.identifier.endpage428
dc.identifier.isbn97815090-20614
dc.identifier.issn2154-0217en_US
dc.identifier.issn2154-0217
dc.identifier.scopus2-s2.0-84994355371en_US
dc.identifier.startpage424en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/529
dc.identifier.urihttps://doi.org/10.1109/ISWCS.2016.7600941
dc.identifier.wosWOS:000386654000078en_US
dc.institutionauthorŞenol, Habiben_US
dc.institutionauthorŞenol, Habib
dc.institutionauthorErküçük, Serhat
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journal2016 13th International Symposium on Wireless Communication Systems (ISWCS)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOFDMen_US
dc.subjectAutoregressive Modelen_US
dc.subjectFast Time-Varyingen_US
dc.subjectSage-Mapen_US
dc.subjectOMPen_US
dc.subjectSparse Channel Estimationen_US
dc.titleData-Aided Autoregressive Sparse Channel Tracking for Ofdm Systemsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication2c09cda4-9d83-4836-8695-b36fc6c9c4ec
relation.isAuthorOfPublication440e977b-46c6-40d4-b970-99b1e357c998
relation.isAuthorOfPublication.latestForDiscovery2c09cda4-9d83-4836-8695-b36fc6c9c4ec

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