Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
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/11144/3695 |
Resumo: | In this study the authors propose a novel joint detection and phase noise estimation scheme suited for severely time-dispersive channels. The authors consider single-carrier modulations combined with frequency domain equalisation schemes where the wireless transmission is impaired with phase noise. An iterative frequency-domain equaliser is assumed on the receiver side and the phase noise is estimated and compensated for after the equalisation step and within each iteration of the equaliser. In fact, by exploiting the Gaussianity of the equaliser output the authors are able to track the phase noise using stochastic recursive filtering techniques. These techniques share the same dynamic state-space (DSS) model. The observation equation corresponds to the measurement of the phase noise of a digitally-modulated signal affected by additive white Gaussian noise, and the dynamics equation corresponds to the Wiener–Lévy model for the phase noise. Supported on this DSS model the authors aim at estimating the unknown phase noise value given all observations up to the current time instant. In a Bayesian context this represents estimating recursively in time the filtering and the predictive distributions. From these distributions a minimum mean-squared error estimate of the phase noise is determined. |
id |
RCAP_f011a15bd26cfc334cf298f97e404d0d |
---|---|
oai_identifier_str |
oai:repositorio.ual.pt:11144/3695 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channelsStochastic processesFiltering theoryIterative methodsPhase noiseModulationAWGNBayes methodsFrequency-domain analysisError compensationWireless channelsSignal detectionEqualisersRecursive filtersIn this study the authors propose a novel joint detection and phase noise estimation scheme suited for severely time-dispersive channels. The authors consider single-carrier modulations combined with frequency domain equalisation schemes where the wireless transmission is impaired with phase noise. An iterative frequency-domain equaliser is assumed on the receiver side and the phase noise is estimated and compensated for after the equalisation step and within each iteration of the equaliser. In fact, by exploiting the Gaussianity of the equaliser output the authors are able to track the phase noise using stochastic recursive filtering techniques. These techniques share the same dynamic state-space (DSS) model. The observation equation corresponds to the measurement of the phase noise of a digitally-modulated signal affected by additive white Gaussian noise, and the dynamics equation corresponds to the Wiener–Lévy model for the phase noise. Supported on this DSS model the authors aim at estimating the unknown phase noise value given all observations up to the current time instant. In a Bayesian context this represents estimating recursively in time the filtering and the predictive distributions. From these distributions a minimum mean-squared error estimate of the phase noise is determined.IET Communications2018-04-13T10:06:53Z2015-01-01T00:00:00Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11144/3695eng1751-862810.1049/iet-com.2014.0900Dinis, RuiPedrosa, PedroNunes, FernandoRodrigues, Antónioinfo: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:RCAAP2024-01-11T02:20:23Zoai:repositorio.ual.pt:11144/3695Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:34:01.567466Repositório 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 |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
title |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
spellingShingle |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels Dinis, Rui Stochastic processes Filtering theory Iterative methods Phase noise Modulation AWGN Bayes methods Frequency-domain analysis Error compensation Wireless channels Signal detection Equalisers Recursive filters |
title_short |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
title_full |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
title_fullStr |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
title_full_unstemmed |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
title_sort |
Joint frequency domain equalisation and phase noise estimation for single-carrier modulations in doubly-selective channels |
author |
Dinis, Rui |
author_facet |
Dinis, Rui Pedrosa, Pedro Nunes, Fernando Rodrigues, António |
author_role |
author |
author2 |
Pedrosa, Pedro Nunes, Fernando Rodrigues, António |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Dinis, Rui Pedrosa, Pedro Nunes, Fernando Rodrigues, António |
dc.subject.por.fl_str_mv |
Stochastic processes Filtering theory Iterative methods Phase noise Modulation AWGN Bayes methods Frequency-domain analysis Error compensation Wireless channels Signal detection Equalisers Recursive filters |
topic |
Stochastic processes Filtering theory Iterative methods Phase noise Modulation AWGN Bayes methods Frequency-domain analysis Error compensation Wireless channels Signal detection Equalisers Recursive filters |
description |
In this study the authors propose a novel joint detection and phase noise estimation scheme suited for severely time-dispersive channels. The authors consider single-carrier modulations combined with frequency domain equalisation schemes where the wireless transmission is impaired with phase noise. An iterative frequency-domain equaliser is assumed on the receiver side and the phase noise is estimated and compensated for after the equalisation step and within each iteration of the equaliser. In fact, by exploiting the Gaussianity of the equaliser output the authors are able to track the phase noise using stochastic recursive filtering techniques. These techniques share the same dynamic state-space (DSS) model. The observation equation corresponds to the measurement of the phase noise of a digitally-modulated signal affected by additive white Gaussian noise, and the dynamics equation corresponds to the Wiener–Lévy model for the phase noise. Supported on this DSS model the authors aim at estimating the unknown phase noise value given all observations up to the current time instant. In a Bayesian context this represents estimating recursively in time the filtering and the predictive distributions. From these distributions a minimum mean-squared error estimate of the phase noise is determined. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01T00:00:00Z 2015 2018-04-13T10:06:53Z |
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/11144/3695 |
url |
http://hdl.handle.net/11144/3695 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1751-8628 10.1049/iet-com.2014.0900 |
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 |
IET Communications |
publisher.none.fl_str_mv |
IET Communications |
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 |
|
_version_ |
1799136818385387520 |