Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Other Authors: | , , , |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10773/28753 |
Summary: | Our aim with this paper is to present a solution suitable for vehicle-to-everything (V2X) communications, particularly, when employing single-carrier modulations combined with frequency-domain equalization (SC-FDE). In fact, we consider the V2X channel to be doubly-selective, where the variation of the channel in time is due to the presence of a Doppler term. Accordingly, the equalization procedure is dealt by a low-complexity iterative frequency-domain equalizer based on the iterative block decisionfeedback equalization (IB-DFE) while the tracking procedure is conducted employing an extended Kalman filter (EKF). The proposed system is very efficient since it allows a very low density of training symbols, even for fast-varying channels. Furthermore only two training symbols are required to initialize the tracking procedure. Thus, ensuring low latency together with reduced channel estimation overheads. |
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Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemesAdaptive equalizersChannel estimationDigital communicationKalman filtersSignal processingSignal processing algorithmsVehicular and wireless technologiesOur aim with this paper is to present a solution suitable for vehicle-to-everything (V2X) communications, particularly, when employing single-carrier modulations combined with frequency-domain equalization (SC-FDE). In fact, we consider the V2X channel to be doubly-selective, where the variation of the channel in time is due to the presence of a Doppler term. Accordingly, the equalization procedure is dealt by a low-complexity iterative frequency-domain equalizer based on the iterative block decisionfeedback equalization (IB-DFE) while the tracking procedure is conducted employing an extended Kalman filter (EKF). The proposed system is very efficient since it allows a very low density of training symbols, even for fast-varying channels. Furthermore only two training symbols are required to initialize the tracking procedure. Thus, ensuring low latency together with reduced channel estimation overheads.IEEE2020-06-30T15:25:47Z2020-03-18T00:00:00Z2020-03-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/28753eng2169-353610.1109/ACCESS.2020.2981717Pedrosa, PedroCastanheira, DanielSilva, AdãoDinis, RuiGameiro, Atílioinfo: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:RCAAP2024-05-06T04:26:20Zoai:ria.ua.pt:10773/28753Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:08:16.778286Repositórios 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 |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| title |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| spellingShingle |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes Pedrosa, Pedro Adaptive equalizers Channel estimation Digital communication Kalman filters Signal processing Signal processing algorithms Vehicular and wireless technologies |
| title_short |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| title_full |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| title_fullStr |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| title_full_unstemmed |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| title_sort |
Efficient joint channel equalization and tracking for V2X communications using SC-FDE schemes |
| author |
Pedrosa, Pedro |
| author_facet |
Pedrosa, Pedro Castanheira, Daniel Silva, Adão Dinis, Rui Gameiro, Atílio |
| author_role |
author |
| author2 |
Castanheira, Daniel Silva, Adão Dinis, Rui Gameiro, Atílio |
| author2_role |
author author author author |
| dc.contributor.author.fl_str_mv |
Pedrosa, Pedro Castanheira, Daniel Silva, Adão Dinis, Rui Gameiro, Atílio |
| dc.subject.por.fl_str_mv |
Adaptive equalizers Channel estimation Digital communication Kalman filters Signal processing Signal processing algorithms Vehicular and wireless technologies |
| topic |
Adaptive equalizers Channel estimation Digital communication Kalman filters Signal processing Signal processing algorithms Vehicular and wireless technologies |
| description |
Our aim with this paper is to present a solution suitable for vehicle-to-everything (V2X) communications, particularly, when employing single-carrier modulations combined with frequency-domain equalization (SC-FDE). In fact, we consider the V2X channel to be doubly-selective, where the variation of the channel in time is due to the presence of a Doppler term. Accordingly, the equalization procedure is dealt by a low-complexity iterative frequency-domain equalizer based on the iterative block decisionfeedback equalization (IB-DFE) while the tracking procedure is conducted employing an extended Kalman filter (EKF). The proposed system is very efficient since it allows a very low density of training symbols, even for fast-varying channels. Furthermore only two training symbols are required to initialize the tracking procedure. Thus, ensuring low latency together with reduced channel estimation overheads. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-06-30T15:25:47Z 2020-03-18T00:00:00Z 2020-03-18 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/28753 |
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http://hdl.handle.net/10773/28753 |
| dc.language.iso.fl_str_mv |
eng |
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eng |
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2169-3536 10.1109/ACCESS.2020.2981717 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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IEEE |
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IEEE |
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