State-Space estimation for OFDM and SC-FDE Schemes with Strongly Varying Carrier Frequency Offset

Bibliographic Details
Main Author: Nunes, Fernando
Publication Date: 2010
Other Authors: Dinis, Rui, Pedrosa, Pedro
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/11144/3724
Summary: 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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spelling 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-08-01T02:06:05Zoai:repositorio.ual.pt:11144/3724Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:42:56.234060Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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