Equalization and beamforming proposals for modern communication systems

Detalhes bibliográficos
Autor(a) principal: Sousa, Tiago Fernando Barbosa de
Data de Publicação: 2019
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/28091
Resumo: This work aims to present new proposals for equalization and beamforming associated with modern digital communication systems. Three proposals are presented in which the first is characterized by an innovative neural equalizer structure called here the Butterfly Neural Equalizer (NE-Butterfly). The NE-Butterfly can be applied to linear and nonlinear intensity-modulated and direct-detection (IM-DD) problems. The second proposal is characterized by an adaptive beamforming scheme applied to Orthogonal FrequencyDivision Multiplexing (OFDM) systems. The OFDM technique and variants are being used in various communication systems such as LTE, digital TV, and others. Finally, the third proposal presents a neural beamforming structure called Butterfly Neural Beamforming (NB-Butterfly) that can be applied to several communication systems. Results associated with the three proposals are presented and show the feasibility of the techniques in several channel scenarios and digital modulation schemes.
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spelling Sousa, Tiago Fernando Barbosa deSilva, José Patrocinio daSilveira, Luiz Felipe de QueirozArantes, Dalton SoaresMahmoodi, ToktamFernandes, Marcelo Augusto Costa2019-11-29T23:42:19Z2019-11-29T23:42:19Z2019-06-07SOUSA, Tiago Fernando Barbosa de. Equalization and beamforming proposals for modern communication systems. 2019. 114f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2019.https://repositorio.ufrn.br/jspui/handle/123456789/28091This work aims to present new proposals for equalization and beamforming associated with modern digital communication systems. Three proposals are presented in which the first is characterized by an innovative neural equalizer structure called here the Butterfly Neural Equalizer (NE-Butterfly). The NE-Butterfly can be applied to linear and nonlinear intensity-modulated and direct-detection (IM-DD) problems. The second proposal is characterized by an adaptive beamforming scheme applied to Orthogonal FrequencyDivision Multiplexing (OFDM) systems. The OFDM technique and variants are being used in various communication systems such as LTE, digital TV, and others. Finally, the third proposal presents a neural beamforming structure called Butterfly Neural Beamforming (NB-Butterfly) that can be applied to several communication systems. Results associated with the three proposals are presented and show the feasibility of the techniques in several channel scenarios and digital modulation schemes.Este trabalho tem como objetivo apresentar novas propostas de equalização e beamforming associada a sistemas modernos de comunicação digital. São apresentadas três propostas nos quais a primeira é caracterizada por uma inovadora estrutura de equalizador neural chamada aqui de Butterfly Neural Equalizer (NE-Butterfly). O NE-Butterfly pode ser aplicado em problemas lineares e não lineares envolvidos em sistemas de ópticos modulados por intensidade que envolvem detecção direta, também chamados de intensity-modulated e direct-detection (IM-DD) Systems. A segunda proposta é caracterizada por um esquema adaptativo de beamforming aplicado a sistemas do tipo Orthogonal Frequency-Division Multiplexing (OFDM). A técnica OFDM e suas variantes estão sendo utilizadas em vários sistemas de comunicação como LTE, TV digital e outros. Finalmente, a terceira proposta apresenta uma estrutura de beamforming neural chamada de Butterfly Neural Beamforming (NB-Butterfly) que pode ser aplicada a vários sistemas de comunicação. Resultados associadas as três propostas são apresentados e mostram a viabilidade das técnicas em vários cenários de canal e esquemas de modulação digital.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)CNPQ::ENGENHARIAS::ENGENHARIA ELETRICAAdaptive equalizationBeamformingNeural equalizersOFDMIMDDOptical EqualizersEqualization and beamforming proposals for modern communication systemsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃOUFRNBrasilinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALEqualizationbeamformingproposals_Sousa_2019.pdfapplication/pdf5718074https://repositorio.ufrn.br/bitstream/123456789/28091/1/Equalizationbeamformingproposals_Sousa_2019.pdf14517f1670bd79d854601581ed27807eMD51TEXTEqualizationbeamformingproposals_Sousa_2019.pdf.txtEqualizationbeamformingproposals_Sousa_2019.pdf.txtExtracted texttext/plain152645https://repositorio.ufrn.br/bitstream/123456789/28091/2/Equalizationbeamformingproposals_Sousa_2019.pdf.txt5ac9f214a2f577812815a9d5817403cdMD52THUMBNAILEqualizationbeamformingproposals_Sousa_2019.pdf.jpgEqualizationbeamformingproposals_Sousa_2019.pdf.jpgGenerated Thumbnailimage/jpeg1456https://repositorio.ufrn.br/bitstream/123456789/28091/3/Equalizationbeamformingproposals_Sousa_2019.pdf.jpgc4688aeef32ac92a68aafece096077eaMD53123456789/280912019-12-01 02:31:20.309oai:https://repositorio.ufrn.br:123456789/28091Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2019-12-01T05:31:20Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Equalization and beamforming proposals for modern communication systems
title Equalization and beamforming proposals for modern communication systems
spellingShingle Equalization and beamforming proposals for modern communication systems
Sousa, Tiago Fernando Barbosa de
CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Adaptive equalization
Beamforming
Neural equalizers
OFDM
IMDD
Optical Equalizers
title_short Equalization and beamforming proposals for modern communication systems
title_full Equalization and beamforming proposals for modern communication systems
title_fullStr Equalization and beamforming proposals for modern communication systems
title_full_unstemmed Equalization and beamforming proposals for modern communication systems
title_sort Equalization and beamforming proposals for modern communication systems
author Sousa, Tiago Fernando Barbosa de
author_facet Sousa, Tiago Fernando Barbosa de
author_role author
dc.contributor.authorID.pt_BR.fl_str_mv
dc.contributor.advisorID.pt_BR.fl_str_mv
dc.contributor.referees1.none.fl_str_mv Silva, José Patrocinio da
dc.contributor.referees1ID.pt_BR.fl_str_mv
dc.contributor.referees2.none.fl_str_mv Silveira, Luiz Felipe de Queiroz
dc.contributor.referees2ID.pt_BR.fl_str_mv
dc.contributor.referees3.none.fl_str_mv Arantes, Dalton Soares
dc.contributor.referees3ID.pt_BR.fl_str_mv
dc.contributor.referees4.none.fl_str_mv Mahmoodi, Toktam
dc.contributor.referees4ID.pt_BR.fl_str_mv
dc.contributor.author.fl_str_mv Sousa, Tiago Fernando Barbosa de
dc.contributor.advisor1.fl_str_mv Fernandes, Marcelo Augusto Costa
contributor_str_mv Fernandes, Marcelo Augusto Costa
dc.subject.cnpq.fl_str_mv CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
topic CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
Adaptive equalization
Beamforming
Neural equalizers
OFDM
IMDD
Optical Equalizers
dc.subject.por.fl_str_mv Adaptive equalization
Beamforming
Neural equalizers
OFDM
IMDD
Optical Equalizers
description This work aims to present new proposals for equalization and beamforming associated with modern digital communication systems. Three proposals are presented in which the first is characterized by an innovative neural equalizer structure called here the Butterfly Neural Equalizer (NE-Butterfly). The NE-Butterfly can be applied to linear and nonlinear intensity-modulated and direct-detection (IM-DD) problems. The second proposal is characterized by an adaptive beamforming scheme applied to Orthogonal FrequencyDivision Multiplexing (OFDM) systems. The OFDM technique and variants are being used in various communication systems such as LTE, digital TV, and others. Finally, the third proposal presents a neural beamforming structure called Butterfly Neural Beamforming (NB-Butterfly) that can be applied to several communication systems. Results associated with the three proposals are presented and show the feasibility of the techniques in several channel scenarios and digital modulation schemes.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-11-29T23:42:19Z
dc.date.available.fl_str_mv 2019-11-29T23:42:19Z
dc.date.issued.fl_str_mv 2019-06-07
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv SOUSA, Tiago Fernando Barbosa de. Equalization and beamforming proposals for modern communication systems. 2019. 114f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2019.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/28091
identifier_str_mv SOUSA, Tiago Fernando Barbosa de. Equalization and beamforming proposals for modern communication systems. 2019. 114f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2019.
url https://repositorio.ufrn.br/jspui/handle/123456789/28091
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.program.fl_str_mv PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO
dc.publisher.initials.fl_str_mv UFRN
dc.publisher.country.fl_str_mv Brasil
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRN
instname:Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN
instname_str Universidade Federal do Rio Grande do Norte (UFRN)
instacron_str UFRN
institution UFRN
reponame_str Repositório Institucional da UFRN
collection Repositório Institucional da UFRN
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