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Article: Blind estimation of MIMO channels with an upper bound for channel orders

TitleBlind estimation of MIMO channels with an upper bound for channel orders
Authors
KeywordsBlind channel identification
Channel estimation
MIMO
Order overestimation
Second-order statistics
Issue Date2006
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/sigpro
Citation
Signal Processing, 2006, v. 86 n. 2, p. 212-222 How to Cite?
AbstractMany known second-order statistics (SOS)-based blind algorithms for MIMO channel estimation, including the subspace (SS) and linear prediction (LP) method, are sensitive to channel-order overestimations. To overcome this problem, an algorithm is proposed in [IEEE Trans. Signal processing 50(6) (2002) 1449-1458] for the SIMO system only, and then its simple generalization to the MIMO system is presented in [Signal Processing 84(2) (2004) 435-439]. In this paper, improvements and refinements on the algorithm in [Signal Processing 84(2) (2004) 435-439] are given, which makes the method robust to noise and round-off error. The method can give estimations of all channel impulse responses subject to a matrix ambiguity when only an upper bound for all MIMO channel orders is known. Simulations show that the algorithm is effective and robust. © 2005 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/74118
ISSN
2015 Impact Factor: 2.063
2015 SCImago Journal Rankings: 1.119
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZeng, Yen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2010-09-06T06:57:58Z-
dc.date.available2010-09-06T06:57:58Z-
dc.date.issued2006en_HK
dc.identifier.citationSignal Processing, 2006, v. 86 n. 2, p. 212-222en_HK
dc.identifier.issn0165-1684en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74118-
dc.description.abstractMany known second-order statistics (SOS)-based blind algorithms for MIMO channel estimation, including the subspace (SS) and linear prediction (LP) method, are sensitive to channel-order overestimations. To overcome this problem, an algorithm is proposed in [IEEE Trans. Signal processing 50(6) (2002) 1449-1458] for the SIMO system only, and then its simple generalization to the MIMO system is presented in [Signal Processing 84(2) (2004) 435-439]. In this paper, improvements and refinements on the algorithm in [Signal Processing 84(2) (2004) 435-439] are given, which makes the method robust to noise and round-off error. The method can give estimations of all channel impulse responses subject to a matrix ambiguity when only an upper bound for all MIMO channel orders is known. Simulations show that the algorithm is effective and robust. © 2005 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/sigproen_HK
dc.relation.ispartofSignal Processingen_HK
dc.rightsSignal Processing. Copyright © Elsevier BV.en_HK
dc.subjectBlind channel identificationen_HK
dc.subjectChannel estimationen_HK
dc.subjectMIMOen_HK
dc.subjectOrder overestimationen_HK
dc.subjectSecond-order statisticsen_HK
dc.titleBlind estimation of MIMO channels with an upper bound for channel ordersen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0165-1684&volume=86(2_&spage=212&epage=222&date=2006&atitle=Blind+Estimation+of+MIMO+Channels+With+An+Upper+Bound+For+Channel+Ordersen_HK
dc.identifier.emailNg, TS:tsng@eee.hku.hken_HK
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.sigpro.2005.04.014en_HK
dc.identifier.scopuseid_2-s2.0-28244447937en_HK
dc.identifier.hkuros119771en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-28244447937&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume86en_HK
dc.identifier.issue2en_HK
dc.identifier.spage212en_HK
dc.identifier.epage222en_HK
dc.identifier.isiWOS:000234028100002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridZeng, Y=7402981440en_HK
dc.identifier.scopusauthoridNg, TS=7402229975en_HK

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