An efficient joint channel estimation and decoding algorithm for turbo-coded space-time orthogonal frequency division multiplexing receivers

dc.contributor.authorDoğan, Hakan
dc.contributor.authorÇırpan, Hakan Ali
dc.contributor.authorPanayırcı, Erdal
dc.date.accessioned2019-06-27T08:06:02Z
dc.date.available2019-06-27T08:06:02Z
dc.date.issued2008
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThe challenging problem in the design of digital receivers of today's and future high-speed high data-rate wireless communication systems is to implement the optimal decoding and channel estimation processes jointly in a computationally feasible way. Without realising such a critical function perfectly at receiver the whole system will not work properly within the desired performance limits. Unfortunately direct implementation of such optimal algorithms is not possible mainly due to their mathematically intractable and computationally prohibitive nature. A novel algorithm that reaches the performance of the optimal maximum a posteriori (MAP) algorithm with a feasible computational complexity is proposed. The algorithm makes use of a powerful statistical signal processing tool called the expectation-maximisation (EM) technique. It iteratively executes the MAP joint channel estimation and decoding for space-time block-coded orthogonal frequency division multiplexing systems with turbo channel coding in the presence of unknown wireless dispersive channels. The main novelty of the work comes from the facts that the proposed algorithm estimates the channel in a non-data-aided fashion and therefore except a small number of pilot symbols required for initialisation no training sequence is necessary. Also the approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and finds MAP estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion no matrix inversion is required in the proposed MAP estimator. Moreover optimal rank reduction is achieved by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the iterative estimation approach.en_US]
dc.identifier.citation5
dc.identifier.doi10.1049/iet-com:20070387en_US
dc.identifier.endpage894
dc.identifier.issn1751-8628en_US
dc.identifier.issn1751-8636en_US
dc.identifier.issn1751-8628
dc.identifier.issn1751-8636
dc.identifier.issue7
dc.identifier.scopus2-s2.0-48449099307en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage886en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1149
dc.identifier.urihttps://doi.org/10.1049/iet-com:20070387
dc.identifier.volume2en_US
dc.identifier.wosWOS:000258039800003en_US
dc.identifier.wosqualityN/A
dc.institutionauthorPanayırcı, Erdalen_US
dc.language.isoenen_US
dc.publisherInst Engineering Technology-IETen_US
dc.relation.journalIET Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAn efficient joint channel estimation and decoding algorithm for turbo-coded space-time orthogonal frequency division multiplexing receiversen_US
dc.typeArticleen_US
dspace.entity.typePublication

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