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Article: A fast LMMSE channel estimation method for OFDM systems

TitleA fast LMMSE channel estimation method for OFDM systems
Authors
Issue Date2009
PublisherHindawi Publishing Corp. The Journal's web site is located at http://www.hindawi.com/journals/wcn/index.html
Citation
Eurasip Journal On Wireless Communications And Networking, 2009, v. 2009, article no. 752895 How to Cite?
AbstractA fast linear minimum mean square error (LMMSE) channel estimation method has been proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems. In comparison with the conventional LMMSE channel estimation, the proposed channel estimation method does not require the statistic knowledge of the channel in advance and avoids the inverse operation of a large dimension matrix by using the fast Fourier transform (FFT) operation. Therefore, the computational complexity can be reduced significantly. The normalized mean square errors (NMSEs) of the proposed method and the conventional LMMSE estimation have been derived. Numerical results show that the NMSE of the proposed method is very close to that of the conventional LMMSE method, which is also verified by computer simulation. In addition, computer simulation shows that the performance of the proposed method is almost the same with that of the conventional LMMSE method in terms of bit error rate (BER). Copyright © 2009 W. Zhou and W. H. Lam.
Persistent Identifierhttp://hdl.handle.net/10722/58814
ISSN
2015 SCImago Journal Rankings: 0.326
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhou, Wen_HK
dc.contributor.authorLam, WHen_HK
dc.date.accessioned2010-05-31T03:37:22Z-
dc.date.available2010-05-31T03:37:22Z-
dc.date.issued2009en_HK
dc.identifier.citationEurasip Journal On Wireless Communications And Networking, 2009, v. 2009, article no. 752895en_HK
dc.identifier.issn1687-1472en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58814-
dc.description.abstractA fast linear minimum mean square error (LMMSE) channel estimation method has been proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems. In comparison with the conventional LMMSE channel estimation, the proposed channel estimation method does not require the statistic knowledge of the channel in advance and avoids the inverse operation of a large dimension matrix by using the fast Fourier transform (FFT) operation. Therefore, the computational complexity can be reduced significantly. The normalized mean square errors (NMSEs) of the proposed method and the conventional LMMSE estimation have been derived. Numerical results show that the NMSE of the proposed method is very close to that of the conventional LMMSE method, which is also verified by computer simulation. In addition, computer simulation shows that the performance of the proposed method is almost the same with that of the conventional LMMSE method in terms of bit error rate (BER). Copyright © 2009 W. Zhou and W. H. Lam.en_HK
dc.languageengen_HK
dc.publisherHindawi Publishing Corp. The Journal's web site is located at http://www.hindawi.com/journals/wcn/index.htmlen_HK
dc.relation.ispartofEurasip Journal on Wireless Communications and Networkingen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleA fast LMMSE channel estimation method for OFDM systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1687-1472&volume=2009&spage=13 pages&epage=&date=2009&atitle=A+Fast+LMMSE+Channel+Estimation+Method+for+OFDM+Systemsen_HK
dc.identifier.emailLam, WH:whlam@eee.hku.hken_HK
dc.identifier.authorityLam, WH=rp00136en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1155/2009/752895en_HK
dc.identifier.scopuseid_2-s2.0-68949107481en_HK
dc.identifier.hkuros162753en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-68949107481&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2009en_HK
dc.identifier.spagearticle no. 752895-
dc.identifier.epagearticle no. 752895-
dc.identifier.eissn1687-1499-
dc.identifier.isiWOS:000268253400001-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhou, W=35312980700en_HK
dc.identifier.scopusauthoridLam, WH=7203021916en_HK

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