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Conference Paper: Fast frequency tracking algorithm for OFDM applications

TitleFast frequency tracking algorithm for OFDM applications
Authors
KeywordsComputers
Artificial intelligence
Issue Date2002
PublisherIEEE.
Citation
IEEE Asia-Pacific Conference on Circuits and Systems Proceedings, Denpasar, Bali, Indonesia, 28-31 October 2002, v. 2, p. 201-205 How to Cite?
AbstractIn this paper, we present a fast frequency tracking algorithm for orthogonal frequency division multiplexing (OFDM) applications. Based on a novel cost function of the carrier frequency offset (CFO), an improved gradient method is proposed to construct the recursive formula. The modified S curve is also employed for the purpose of accelerating frequency tracking. Performance of the proposed algorithm is investigated analytically as well as by simulation. In comparison to the previous methods, the proposed method has faster tracking speed, larger tracking range and lower implementation complexity.
Persistent Identifierhttp://hdl.handle.net/10722/46366

 

DC FieldValueLanguage
dc.contributor.authorLei, Jen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2007-10-30T06:48:17Z-
dc.date.available2007-10-30T06:48:17Z-
dc.date.issued2002en_HK
dc.identifier.citationIEEE Asia-Pacific Conference on Circuits and Systems Proceedings, Denpasar, Bali, Indonesia, 28-31 October 2002, v. 2, p. 201-205en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46366-
dc.description.abstractIn this paper, we present a fast frequency tracking algorithm for orthogonal frequency division multiplexing (OFDM) applications. Based on a novel cost function of the carrier frequency offset (CFO), an improved gradient method is proposed to construct the recursive formula. The modified S curve is also employed for the purpose of accelerating frequency tracking. Performance of the proposed algorithm is investigated analytically as well as by simulation. In comparison to the previous methods, the proposed method has faster tracking speed, larger tracking range and lower implementation complexity.en_HK
dc.format.extent495380 bytes-
dc.format.extent21012 bytes-
dc.format.extent21377 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Asia-Pacific Conference on Circuits and Systems Proceedings-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectComputersen_HK
dc.subjectArtificial intelligenceen_HK
dc.titleFast frequency tracking algorithm for OFDM applicationsen_HK
dc.typeConference_Paperen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/APCCAS.2002.1115153en_HK
dc.identifier.hkuros81578-

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