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Conference Paper: Partial data-dependent superimposed training based iterative channel estimation for OFDM systems over doubly selective channels

TitlePartial data-dependent superimposed training based iterative channel estimation for OFDM systems over doubly selective channels
Authors
KeywordsChannel estimation
Orthogonal frequency division multiplexing (OFDM)
Superimposed training
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308
Citation
The IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM 2010), Miami, FL., 6-10 December 2010. In Proceedings of GLOBECOM, 2010, p. 1-5 How to Cite?
AbstractIn this paper, partial data-dependent superimposed training based channel estimation for OFDM systems over doubly selective channels (DSCs) is addressed. Due to the presence of unknown data as interference, we first derive a minimum mean square error (MMSE) channel estimator by treating the effect of unknown data as noise. To further improve the performance, a novel iterative algorithm which jointly estimates channel and suppresses interference from data is proposed via variational inference approach. Simulation results show that the proposed algorithm converges after a few iterations. Furthermore, after convergence, the performance of the proposed channel estimator is very close to that with full training at high SNRs. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/126168
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorHe, Len_HK
dc.contributor.authorMa, Sen_HK
dc.contributor.authorWu, YCen_HK
dc.contributor.authorNg, TSen_HK
dc.date.accessioned2010-10-31T12:13:28Z-
dc.date.available2010-10-31T12:13:28Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM 2010), Miami, FL., 6-10 December 2010. In Proceedings of GLOBECOM, 2010, p. 1-5en_HK
dc.identifier.issn1930-529X-
dc.identifier.urihttp://hdl.handle.net/10722/126168-
dc.description.abstractIn this paper, partial data-dependent superimposed training based channel estimation for OFDM systems over doubly selective channels (DSCs) is addressed. Due to the presence of unknown data as interference, we first derive a minimum mean square error (MMSE) channel estimator by treating the effect of unknown data as noise. To further improve the performance, a novel iterative algorithm which jointly estimates channel and suppresses interference from data is proposed via variational inference approach. Simulation results show that the proposed algorithm converges after a few iterations. Furthermore, after convergence, the performance of the proposed channel estimator is very close to that with full training at high SNRs. ©2010 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308-
dc.relation.ispartofGLOBECOM - IEEE Global Telecommunications Conferenceen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsIEEE Conference and Exhibition on Global Telecommunications. Copyright © IEEE.-
dc.rights©2010 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.-
dc.subjectChannel estimationen_HK
dc.subjectOrthogonal frequency division multiplexing (OFDM)en_HK
dc.subjectSuperimposed trainingen_HK
dc.titlePartial data-dependent superimposed training based iterative channel estimation for OFDM systems over doubly selective channelsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1930-529X&volume=&spage=1&epage=5&date=2010&atitle=Partial+data-dependent+superimposed+training+based+iterative+channel+estimation+for+OFDM+systems+over+doubly+selective+channels-
dc.identifier.emailMa, S: sdma@eee.hku.hken_HK
dc.identifier.emailWu, YC: ycwu@hkucc.hku.hken_HK
dc.identifier.emailNg, TS: tsng@eee.hku.hken_HK
dc.identifier.authorityMa, S=rp00153en_HK
dc.identifier.authorityWu, YC=rp00195en_HK
dc.identifier.authorityNg, TS=rp00159en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/GLOCOM.2010.5683179en_HK
dc.identifier.scopuseid_2-s2.0-79551631529en_HK
dc.identifier.hkuros173957en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79551631529&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage5-
dc.description.otherThe IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM 2010), Miami, FL., 6-10 December 2010. In Proceedings of GLOBECOM, 2010, p. 1-5-
dc.identifier.scopusauthoridHe, L=36084228000en_HK
dc.identifier.scopusauthoridMa, S=8553949000en_HK
dc.identifier.scopusauthoridWu, YC=7406894786en_HK
dc.identifier.scopusauthoridNg, TS=7402229975en_HK

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