Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFBA |
Texto Completo: | http://www.repositorio.ufba.br/ri/handle/ri/6595 |
Resumo: | Trabalho completo: acesso restrito, p. 472-480 |
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Jongsoo, ChoiLima, Antonio Cezar de CastroHaykin, SimonJongsoo, ChoiLima, Antonio Cezar de CastroHaykin, Simon2012-08-15T19:34:55Z2005-030090-6778http://www.repositorio.ufba.br/ri/handle/ri/6595v. 53, n. 3Trabalho completo: acesso restrito, p. 472-480Recurrent neural networks (RNNs) have been successfully applied to communications channel equalization because of their modeling capability for nonlinear dynamic systems. Major problems of gradient-descent learning techniques commonly employed to train RNNs are slow convergence rates and long training sequences required for satisfactory performance. This paper presents decision-feedback equalizers using an RNN trained with Kalman filtering algorithms. The main features of the proposed recurrent neural equalizers, using the extended Kalman filter(EKF) and unscented Kalman filter (UKF), are fast convergence and good performance using relatively short training symbols. Experimental results for various time-varying channels are presented to evaluate the performance of the proposed approaches over a conventional recurrent neural equalizer.Submitted by Bruna Lessa (lessbruna@gmail.com) on 2012-08-15T19:34:55Z No. of bitstreams: 1 (160).pdf: 577702 bytes, checksum: d8eb0a291ec031f53114d7f5ce6a56e8 (MD5)Made available in DSpace on 2012-08-15T19:34:55Z (GMT). No. of bitstreams: 1 (160).pdf: 577702 bytes, checksum: d8eb0a291ec031f53114d7f5ce6a56e8 (MD5) Previous issue date: 2005-03Institute of Electrical and Electronics Engineershttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1413591reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAChannel equalizationextended Kalman filter (EKF)recurrent neural network (RNN)time-varying channelunscented Kalman filter (UKF)Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying ChannelsIEEE Transactions on Communicationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10000-01-01enginfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain1762https://repositorio.ufba.br/bitstream/ri/6595/2/license.txt1b89a9a0548218172d7c829f87a0eab9MD52ORIGINAL(160).pdf(160).pdfapplication/pdf577702https://repositorio.ufba.br/bitstream/ri/6595/1/%28160%29.pdfd8eb0a291ec031f53114d7f5ce6a56e8MD51TEXT(160).pdf.txt(160).pdf.txtExtracted texttext/plain37576https://repositorio.ufba.br/bitstream/ri/6595/3/%28160%29.pdf.txt905ffee84b1796834b6c34e6563ac6cbMD53ri/65952022-07-05 14:03:44.341oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-07-05T17:03:44Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false |
dc.title.pt_BR.fl_str_mv |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
dc.title.alternative.pt_BR.fl_str_mv |
IEEE Transactions on Communications |
title |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
spellingShingle |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels Jongsoo, Choi Channel equalization extended Kalman filter (EKF) recurrent neural network (RNN) time-varying channel unscented Kalman filter (UKF) |
title_short |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
title_full |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
title_fullStr |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
title_full_unstemmed |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
title_sort |
Kalman Filter-Trained Recurrent Neural Equalizers for Time-Varying Channels |
author |
Jongsoo, Choi |
author_facet |
Jongsoo, Choi Lima, Antonio Cezar de Castro Haykin, Simon |
author_role |
author |
author2 |
Lima, Antonio Cezar de Castro Haykin, Simon |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Jongsoo, Choi Lima, Antonio Cezar de Castro Haykin, Simon Jongsoo, Choi Lima, Antonio Cezar de Castro Haykin, Simon |
dc.subject.por.fl_str_mv |
Channel equalization extended Kalman filter (EKF) recurrent neural network (RNN) time-varying channel unscented Kalman filter (UKF) |
topic |
Channel equalization extended Kalman filter (EKF) recurrent neural network (RNN) time-varying channel unscented Kalman filter (UKF) |
description |
Trabalho completo: acesso restrito, p. 472-480 |
publishDate |
2005 |
dc.date.issued.fl_str_mv |
2005-03 |
dc.date.accessioned.fl_str_mv |
2012-08-15T19:34:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufba.br/ri/handle/ri/6595 |
dc.identifier.issn.none.fl_str_mv |
0090-6778 |
dc.identifier.number.pt_BR.fl_str_mv |
v. 53, n. 3 |
identifier_str_mv |
0090-6778 v. 53, n. 3 |
url |
http://www.repositorio.ufba.br/ri/handle/ri/6595 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
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http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1413591 |
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