Tensor-based estimation of mmWave MIMO channels with carrier frequency offset

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Lucas Nogueira
Data de Publicação: 2019
Outros Autores: Almeida, André Lima Férrer de, Myers, Nitin Jonathan, Heath, Robert W.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/69525
Resumo: Millimeter wave multiple-input-multiple-output (MIMO) achieves the best performance when reliable channel state information is used to design the beams. Most channel estimation methods proposed in the literature, however, ignore practical hardware impairments such as carrier frequency offset (CFO) and may fail under such impairment. In this paper, we present a joint CFO and channel estimation method based on tensor modeling and compressed sensing. Simulation results indicate that the proposed method yields better channel recovery performance than the benchmark and that it is more robust to a small number of channel measurements.
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spelling Tensor-based estimation of mmWave MIMO channels with carrier frequency offsetMIMOTensorCompressed sensingChannel estimationMillimeter wave multiple-input-multiple-output (MIMO) achieves the best performance when reliable channel state information is used to design the beams. Most channel estimation methods proposed in the literature, however, ignore practical hardware impairments such as carrier frequency offset (CFO) and may fail under such impairment. In this paper, we present a joint CFO and channel estimation method based on tensor modeling and compressed sensing. Simulation results indicate that the proposed method yields better channel recovery performance than the benchmark and that it is more robust to a small number of channel measurements.International Conference on Acoustics, Speech and Signal Processing2022-11-25T14:22:05Z2022-11-25T14:22:05Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfALMEIDA, A. L. F. et al. Tensor-based estimation of mmWave MIMO channels with carrier frequency offset. In: INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, 2019, Brighton. Anais... Brighton: IEEE, 2019. p. 4155-4159.http://www.repositorio.ufc.br/handle/riufc/69525Ribeiro, Lucas NogueiraAlmeida, André Lima Férrer deMyers, Nitin JonathanHeath, Robert W.engreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2022-11-25T14:22:05Zoai:repositorio.ufc.br:riufc/69525Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:51:55.243041Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
title Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
spellingShingle Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
Ribeiro, Lucas Nogueira
MIMO
Tensor
Compressed sensing
Channel estimation
title_short Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
title_full Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
title_fullStr Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
title_full_unstemmed Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
title_sort Tensor-based estimation of mmWave MIMO channels with carrier frequency offset
author Ribeiro, Lucas Nogueira
author_facet Ribeiro, Lucas Nogueira
Almeida, André Lima Férrer de
Myers, Nitin Jonathan
Heath, Robert W.
author_role author
author2 Almeida, André Lima Férrer de
Myers, Nitin Jonathan
Heath, Robert W.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ribeiro, Lucas Nogueira
Almeida, André Lima Férrer de
Myers, Nitin Jonathan
Heath, Robert W.
dc.subject.por.fl_str_mv MIMO
Tensor
Compressed sensing
Channel estimation
topic MIMO
Tensor
Compressed sensing
Channel estimation
description Millimeter wave multiple-input-multiple-output (MIMO) achieves the best performance when reliable channel state information is used to design the beams. Most channel estimation methods proposed in the literature, however, ignore practical hardware impairments such as carrier frequency offset (CFO) and may fail under such impairment. In this paper, we present a joint CFO and channel estimation method based on tensor modeling and compressed sensing. Simulation results indicate that the proposed method yields better channel recovery performance than the benchmark and that it is more robust to a small number of channel measurements.
publishDate 2019
dc.date.none.fl_str_mv 2019
2022-11-25T14:22:05Z
2022-11-25T14:22:05Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv ALMEIDA, A. L. F. et al. Tensor-based estimation of mmWave MIMO channels with carrier frequency offset. In: INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, 2019, Brighton. Anais... Brighton: IEEE, 2019. p. 4155-4159.
http://www.repositorio.ufc.br/handle/riufc/69525
identifier_str_mv ALMEIDA, A. L. F. et al. Tensor-based estimation of mmWave MIMO channels with carrier frequency offset. In: INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, 2019, Brighton. Anais... Brighton: IEEE, 2019. p. 4155-4159.
url http://www.repositorio.ufc.br/handle/riufc/69525
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv International Conference on Acoustics, Speech and Signal Processing
publisher.none.fl_str_mv International Conference on Acoustics, Speech and Signal Processing
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1813028975806513152

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