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Article: Signal Detection for OFDM-Based Virtual MIMO Systems under Unknown Doubly Selective Channels, Multiple Interferences and Phase Noises

TitleSignal Detection for OFDM-Based Virtual MIMO Systems under Unknown Doubly Selective Channels, Multiple Interferences and Phase Noises
Authors
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693
Citation
IEEE Transactions on Wireless Communications, 2013, v. 12 n. 10, p. 5309-5321 How to Cite?
AbstractIn this paper, the challenging problem of signal detection under severe communication environment that plagued by unknown doubly selective channels (DSCs), multiple narrowband interferences (NBIs) and phase noises (PNs) is investigated for orthogonal frequency division multiplexing based virtual multiple-input multiple-output (OFDM-V-MIMO) systems. Based on the Variational Bayesian Inference framework, a novel iterative algorithm for joint signal detection, DSC, NBI and PN estimations is proposed. Simulation results demonstrate quick convergence of the proposed algorithm, and after convergence, the bit-error-rate performance of the proposed signal detection algorithm is very close to that of the ideal case which assumes perfect channel state information, no PN, and known positions and powers of NBIs plus additive white Gaussian noise. Furthermore, simulation results show that the proposed signal detection algorithm outperforms other state-of-the-art methods.
Persistent Identifierhttp://hdl.handle.net/10722/199096
ISSN
2015 Impact Factor: 2.925
2015 SCImago Journal Rankings: 2.340

 

DC FieldValueLanguage
dc.contributor.authorZhong, Ken_US
dc.contributor.authorWu, YCen_US
dc.contributor.authorLi, Sen_US
dc.date.accessioned2014-07-22T01:02:52Z-
dc.date.available2014-07-22T01:02:52Z-
dc.date.issued2013en_US
dc.identifier.citationIEEE Transactions on Wireless Communications, 2013, v. 12 n. 10, p. 5309-5321en_US
dc.identifier.issn1536-1276-
dc.identifier.urihttp://hdl.handle.net/10722/199096-
dc.description.abstractIn this paper, the challenging problem of signal detection under severe communication environment that plagued by unknown doubly selective channels (DSCs), multiple narrowband interferences (NBIs) and phase noises (PNs) is investigated for orthogonal frequency division multiplexing based virtual multiple-input multiple-output (OFDM-V-MIMO) systems. Based on the Variational Bayesian Inference framework, a novel iterative algorithm for joint signal detection, DSC, NBI and PN estimations is proposed. Simulation results demonstrate quick convergence of the proposed algorithm, and after convergence, the bit-error-rate performance of the proposed signal detection algorithm is very close to that of the ideal case which assumes perfect channel state information, no PN, and known positions and powers of NBIs plus additive white Gaussian noise. Furthermore, simulation results show that the proposed signal detection algorithm outperforms other state-of-the-art methods.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7693-
dc.relation.ispartofIEEE Transactions on Wireless Communicationsen_US
dc.rightsIEEE Transactions on Wireless Communications. Copyright © IEEE.-
dc.rights©2013 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleSignal Detection for OFDM-Based Virtual MIMO Systems under Unknown Doubly Selective Channels, Multiple Interferences and Phase Noisesen_US
dc.typeArticleen_US
dc.identifier.emailZhong, K: kezhong@hku.hken_US
dc.identifier.emailWu, YC: ycwu@eee.hku.hken_US
dc.identifier.authorityWu, YC=rp00195en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TWC.2013.090413.130271-
dc.identifier.hkuros231477en_US
dc.identifier.volume12en_US
dc.identifier.issue10-
dc.identifier.spage5309en_US
dc.identifier.epage5321en_US
dc.publisher.placeUnited States-

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