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Article: Robust subspace blind channel estimation for cyclic prefixed MIMO OFDM systems: Algorithm, identifiability and performance analysis

TitleRobust subspace blind channel estimation for cyclic prefixed MIMO OFDM systems: Algorithm, identifiability and performance analysis
Authors
KeywordsAsymptotical mean square error
Blind channel estimation
Cramér-Rao bound
Cyclic prefix
Identifiability
MIMO OFDM
Second order statistics
Subspace method
Issue Date2008
PublisherIEEE.
Citation
Ieee Journal On Selected Areas In Communications, 2008, v. 26 n. 2, p. 378-388 How to Cite?
AbstractA novel subspace (SS) based blind channel estimation method for multi-input, multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed in this work. With an appropriate re-modulation on the received signal blocks, the SS method can be effectively applied to the cyclic prefix (CP) based MIMO-OFDM system when the number of the receive antennas is no less than the number of transmit antennas. These features show great compatibility with the coming fourth generation (4G) wireless communication standards as well as most existing single-input single-output (SISO) OFDM standards, thus allow the proposed algorithm to be conveniently integrated into practical applications. Compared with the traditional SS method, the proposed algorithm exhibits many advantages such as robustness to channel order overestimation, capability of guaranteeing the channel identifiability etc. Analytical expressions for the mean-square error (MSE) and the approximated Cramér-Rao bound (ACRB) of the proposed algorithm are derived in closed forms. Various numerical examples are conducted to corroborate the proposed studies. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/57465
ISSN
2015 Impact Factor: 3.672
2015 SCImago Journal Rankings: 2.915
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorGao, Fen_HK
dc.contributor.authorZeng, Yen_HK
dc.contributor.authorNallanathan, Aen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2010-04-12T01:37:24Z-
dc.date.available2010-04-12T01:37:24Z-
dc.date.issued2008en_HK
dc.identifier.citationIeee Journal On Selected Areas In Communications, 2008, v. 26 n. 2, p. 378-388en_HK
dc.identifier.issn0733-8716en_HK
dc.identifier.urihttp://hdl.handle.net/10722/57465-
dc.description.abstractA novel subspace (SS) based blind channel estimation method for multi-input, multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed in this work. With an appropriate re-modulation on the received signal blocks, the SS method can be effectively applied to the cyclic prefix (CP) based MIMO-OFDM system when the number of the receive antennas is no less than the number of transmit antennas. These features show great compatibility with the coming fourth generation (4G) wireless communication standards as well as most existing single-input single-output (SISO) OFDM standards, thus allow the proposed algorithm to be conveniently integrated into practical applications. Compared with the traditional SS method, the proposed algorithm exhibits many advantages such as robustness to channel order overestimation, capability of guaranteeing the channel identifiability etc. Analytical expressions for the mean-square error (MSE) and the approximated Cramér-Rao bound (ACRB) of the proposed algorithm are derived in closed forms. Various numerical examples are conducted to corroborate the proposed studies. © 2008 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Journal on Selected Areas in Communicationsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2008 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.subjectAsymptotical mean square erroren_HK
dc.subjectBlind channel estimationen_HK
dc.subjectCramér-Rao bounden_HK
dc.subjectCyclic prefixen_HK
dc.subjectIdentifiabilityen_HK
dc.subjectMIMO OFDMen_HK
dc.subjectSecond order statisticsen_HK
dc.subjectSubspace methoden_HK
dc.titleRobust subspace blind channel estimation for cyclic prefixed MIMO OFDM systems: Algorithm, identifiability and performance analysisen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0733-8716&volume=26&issue=2&spage=378&epage=388&date=2008&atitle=Robust+subspace+blind+channel+estimation+for+cyclic+prefixed+MIMO+OFDM+systems:+algorithm,+identifiability+and+performance+analysisen_HK
dc.identifier.emailNg, TS:tsng@eee.hku.hken_HK
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/JSAC.2008.080214en_HK
dc.identifier.scopuseid_2-s2.0-38849093859en_HK
dc.identifier.hkuros152272-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-38849093859&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume26en_HK
dc.identifier.issue2en_HK
dc.identifier.spage378en_HK
dc.identifier.epage388en_HK
dc.identifier.isiWOS:000252813500014-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGao, F=11940803400en_HK
dc.identifier.scopusauthoridZeng, Y=7402981440en_HK
dc.identifier.scopusauthoridNallanathan, A=6603561059en_HK
dc.identifier.scopusauthoridNg, TS=7402229975en_HK

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