State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/11144/3724 |
Resumo: | Parametric algorithms for the estimation of rapidly-varying Carrier Frequency Offset (CFO) usually employ pilot symbols multiplexed with the data transmission. As the CFO variation rate increases so has to increase the density of pilot symbols transmitted, thus impairing the bandwidth efficiency. In order to reduce the number of pilot symbols used in the estimation of rapidly-varying CFO it was proposed to use a truncated Taylors series to predict the CFO, where the derivatives up to order d-1 are recursively estimated with a d-order Kalman filter (KF).We propose to compare the performance of a fourth-order KF predictor in the most popular block transmission systems: Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Frequency-Domain Equalization (SC-FDE). Simulating different transmission scenarios, e.g., channel coding and spatial diversity, our results show that for static multipath fading channels the proposed receiver for the SC-FDE scheme exhibits better Bit Error Rate (BER) performance than that of OFDM |
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7160 |
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State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency OffsetCarrier frequency offsetKalman filterOrthogonal frequency division multiplexingSingle carrier frequency-domain equalizationParametric algorithms for the estimation of rapidly-varying Carrier Frequency Offset (CFO) usually employ pilot symbols multiplexed with the data transmission. As the CFO variation rate increases so has to increase the density of pilot symbols transmitted, thus impairing the bandwidth efficiency. In order to reduce the number of pilot symbols used in the estimation of rapidly-varying CFO it was proposed to use a truncated Taylors series to predict the CFO, where the derivatives up to order d-1 are recursively estimated with a d-order Kalman filter (KF).We propose to compare the performance of a fourth-order KF predictor in the most popular block transmission systems: Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Frequency-Domain Equalization (SC-FDE). Simulating different transmission scenarios, e.g., channel coding and spatial diversity, our results show that for static multipath fading channels the proposed receiver for the SC-FDE scheme exhibits better Bit Error Rate (BER) performance than that of OFDMECTI-CIT2018-04-13T15:00:30Z2010-05-01T00:00:00Z2010-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3724eng2286-9131Nunes, FernandoDinis, RuiPedrosa, Pedroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-11T02:19:12Zoai:repositorio.ual.pt:11144/3724Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:33:45.760942Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
title |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
spellingShingle |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset Nunes, Fernando Carrier frequency offset Kalman filter Orthogonal frequency division multiplexing Single carrier frequency-domain equalization |
title_short |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
title_full |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
title_fullStr |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
title_full_unstemmed |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
title_sort |
State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset |
author |
Nunes, Fernando |
author_facet |
Nunes, Fernando Dinis, Rui Pedrosa, Pedro |
author_role |
author |
author2 |
Dinis, Rui Pedrosa, Pedro |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Nunes, Fernando Dinis, Rui Pedrosa, Pedro |
dc.subject.por.fl_str_mv |
Carrier frequency offset Kalman filter Orthogonal frequency division multiplexing Single carrier frequency-domain equalization |
topic |
Carrier frequency offset Kalman filter Orthogonal frequency division multiplexing Single carrier frequency-domain equalization |
description |
Parametric algorithms for the estimation of rapidly-varying Carrier Frequency Offset (CFO) usually employ pilot symbols multiplexed with the data transmission. As the CFO variation rate increases so has to increase the density of pilot symbols transmitted, thus impairing the bandwidth efficiency. In order to reduce the number of pilot symbols used in the estimation of rapidly-varying CFO it was proposed to use a truncated Taylors series to predict the CFO, where the derivatives up to order d-1 are recursively estimated with a d-order Kalman filter (KF).We propose to compare the performance of a fourth-order KF predictor in the most popular block transmission systems: Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Frequency-Domain Equalization (SC-FDE). Simulating different transmission scenarios, e.g., channel coding and spatial diversity, our results show that for static multipath fading channels the proposed receiver for the SC-FDE scheme exhibits better Bit Error Rate (BER) performance than that of OFDM |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-05-01T00:00:00Z 2010-05 2018-04-13T15:00:30Z |
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://hdl.handle.net/11144/3724 |
url |
http://hdl.handle.net/11144/3724 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2286-9131 |
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 |
ECTI-CIT |
publisher.none.fl_str_mv |
ECTI-CIT |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136815863562240 |