Tensor space-time (TST) coding for MIMO wireless communication systems

dc.creatorFavier, G
dc.creatorda Costa, MN
dc.creatorde Almeida, ALF
dc.creatorRomano, JMT
dc.date2012
dc.dateAPR
dc.date2014-08-01T18:24:55Z
dc.date2015-11-26T17:03:46Z
dc.date2014-08-01T18:24:55Z
dc.date2015-11-26T17:03:46Z
dc.date.accessioned2018-03-28T23:51:57Z
dc.date.available2018-03-28T23:51:57Z
dc.identifierSignal Processing. Elsevier Science Bv, v. 92, n. 4, n. 1079, n. 1092, 2012.
dc.identifier0165-1684
dc.identifierWOS:000300870100022
dc.identifier10.1016/j.sigpro.2011.10.021
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/78572
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/78572
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1279171
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionIn this paper, we propose a tensor space-time (TST) coding for multiple-input multiple-output (MIMO) wireless communication systems. The originality of TST coding is that it allows spreading and multiplexing the transmitted symbols, belonging to R data streams, in both space (antennas) and time (chips and blocks) domains, owing the use of two (stream- and antenna-to-block) allocation matrices. This TST coding is defined in terms of a third-order code tensor admitting transmit antenna, data stream and chip as modes. Assuming flat Rayleigh fading propagation channels, the signals received by K receive antennas during P time blocks, composed of N symbol periods each, with J chips per symbol, form a fourth-order tensor that satisfies a new constrained tensor model, called a PARATUCK-(2,4) model. Conditions for identifiability and uniqueness of this model are established, and a performance analysis of TST coding is made, before presenting a blind receiver for joint channel estimation and symbol recovery. Finally, some simulation results are provided to evaluate the performance of this receiver. (C) 2011 Elsevier B.V. All rights reserved.
dc.description92
dc.description4
dc.description1079
dc.description1092
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCAPES [544/07]
dc.descriptionCNPq [303238/2010-0]
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationSignal Processing
dc.relationSignal Process.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectChannel estimation
dc.subjectMIMO systems
dc.subjectPARATUCK model
dc.subjectSpace-time coding
dc.subjectSymbol estimation
dc.subjectTensor modeling
dc.subject3-mode Factor-analysis
dc.subjectDs-cdma
dc.subjectBlock-codes
dc.subjectOrthogonal Designs
dc.subjectDecomposition
dc.subjectDiversity
dc.subjectConstruction
dc.subjectTradeoff
dc.subjectChannels
dc.subjectNumber
dc.titleTensor space-time (TST) coding for MIMO wireless communication systems
dc.typeArtículos de revistas


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