Generalized Regression Neural Network Based Channel Identification and Compensation Using Scattered Pilot

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dc.contributor.authorHe, He
dc.contributor.authorKojima, Shun
dc.contributor.authorOmura, Takaki
dc.contributor.authorMaruta, Kazuki
dc.contributor.authorAhn, Chang-Jun
dc.coverage.issue4cs
dc.coverage.volume30cs
dc.date.accessioned2021-12-13T09:46:53Z
dc.date.available2021-12-13T09:46:53Z
dc.date.issued2021-12cs
dc.description.abstractIn the high-speed mobile environment, channel state information (CSI) estimated at the beginning of the packet is quite different at the last part because the actual channel state changes with time. To overcome this problem, a neural network (NN) based channel compensation method was previously developed. Due to inaccurate channel estimation of decision feedback channel estimation (DFCE), the pilot-aided CSI of the first symbol and DFCE-aided CSIs in the intermediate data part will cause inexact channel state transition even though the application of NN. Accordingly, the channel compensation performance is still degraded, especially in the last part of the packet. This paper proposes a new version of GRNN based channel identification and compensation method by introducing scattered pilot. It can improve the tracking capability of GRNN thanks to densely arranged pilot in the time-domain while it cannot reduce the transmission efficiency. Simulation results show that the proposed method is more effective than the conventional ones in terms of RMSE and BER performance, even in the fast fading environment.en
dc.formattextcs
dc.format.extent695-703cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2021 vol. 30, č. 4, s. 695-703. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2021.0695en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/203177
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2021/21_04_0695_0703.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectOFDMen
dc.subjectfast fadingen
dc.subjectchannel estimationen
dc.subjectgeneralized regression neural networken
dc.subjectDFCEen
dc.subjectscattered piloten
dc.titleGeneralized Regression Neural Network Based Channel Identification and Compensation Using Scattered Piloten
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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