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dc.contributor.authorPeixoto, Antônio Augusto Teixeira-
dc.contributor.authorFernandes, Carlos Alexandre Rolim-
dc.date.accessioned2021-08-18T18:24:48Z-
dc.date.available2021-08-18T18:24:48Z-
dc.date.issued2017-
dc.identifier.citationPEIXOTO, Antonio Augusto Teixeira; FERNANDES, Carlos Alexandre Rolim.Tensor-based multiuser detection for uplink DS-CDMA systems with cooperative diversity. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES E PROCESSAMENTO DE SINAIS – SbrT, XXXV., 3 a 6 set. 2017. São Pedro-SP. Anais[…], São Pedro-SP, 2017.p.42-46.pt_BR
dc.identifier.urihttp://www.repositorio.ufc.br/handle/riufc/60022-
dc.description.abstractIn the present paper, a semi-blind receiver for a multiuser uplink DS-CDMA (Direct-Sequence Code-Division Multiple-Access) system based on relay aided cooperative com munications is proposed. For the received signal, a quadrilinear Parallel Factor (PARAFAC) tensor decomposition is adopted, such that the proposed receiver can semi-blindly estimate the transmitted symbols, channel gains and spatial signatures of all users. The estimation is done by fitting the tensor model using the Alternating Least Squares (ALS) algorithm. With computational simulations, we provide the performance evaluation of the proposed receiver for various scenarios.pt_BR
dc.language.isopt_BRpt_BR
dc.publisherhttps://www.sbrt.org.br/sbrt2017pt_BR
dc.subjectSemi-blind receiverpt_BR
dc.subjectDS-CDMApt_BR
dc.subjectCooperative communicationspt_BR
dc.subjectPARAFACpt_BR
dc.subjectTensor modelpt_BR
dc.subjectAlternpt_BR
dc.titleTensor-Based Multiuser Detection for Uplink DS-CDMA Systems with Cooperative Diversitypt_BR
dc.typeArtigo de Eventopt_BR
dc.description.abstract-ptbrIn the present paper, a semi-blind receiver for a multiuser uplink DS-CDMA (Direct-Sequence Code-Division Multiple-Access) system based on relay aided cooperative com munications is proposed. For the received signal, a quadrilinear Parallel Factor (PARAFAC) tensor decomposition is adopted, such that the proposed receiver can semi-blindly estimate the transmitted symbols, channel gains and spatial signatures of all users. The estimation is done by fitting the tensor model using the Alternating Least Squares (ALS) algorithm. With computational simulations, we provide the performance evaluation of the proposed receiver for various scenarios.pt_BR
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