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Article: Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation

TitleNetwork-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation
Authors
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=78
Citation
IEEE Transactions on Signal Processing, 2013, v. 61 n. 23, p. 5868-5877 How to Cite?
AbstractIn this paper, we propose a fully distributed algorithm for frequency offsets estimation in decentralized systems. The idea is based on belief propagation, resulting in that each node estimates its own frequency offsets by local computations and limited exchange of information with its direct neighbors. Such algorithm does not require any centralized information processing or knowledge of global network topology, thus is scalable with network size. It is shown analytically that the proposed algorithm always converges to the optimal estimates regardless of network topology. Simulation results demonstrate the fast convergence of the algorithm and show that estimation mean-squared-error at each node approaches the centralized Craḿer-Rao bound within a few iterations of message exchange.
Persistent Identifierhttp://hdl.handle.net/10722/199097
ISSN
2015 Impact Factor: 2.624
2015 SCImago Journal Rankings: 2.004
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDu, Jen_US
dc.contributor.authorWu, YCen_US
dc.date.accessioned2014-07-22T01:02:52Z-
dc.date.available2014-07-22T01:02:52Z-
dc.date.issued2013en_US
dc.identifier.citationIEEE Transactions on Signal Processing, 2013, v. 61 n. 23, p. 5868-5877en_US
dc.identifier.issn1053-587X-
dc.identifier.urihttp://hdl.handle.net/10722/199097-
dc.description.abstractIn this paper, we propose a fully distributed algorithm for frequency offsets estimation in decentralized systems. The idea is based on belief propagation, resulting in that each node estimates its own frequency offsets by local computations and limited exchange of information with its direct neighbors. Such algorithm does not require any centralized information processing or knowledge of global network topology, thus is scalable with network size. It is shown analytically that the proposed algorithm always converges to the optimal estimates regardless of network topology. Simulation results demonstrate the fast convergence of the algorithm and show that estimation mean-squared-error at each node approaches the centralized Craḿer-Rao bound within a few iterations of message exchange.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=78-
dc.relation.ispartofIEEE Transactions on Signal Processingen_US
dc.rightsIEEE Transactions on Signal Processing. 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.titleNetwork-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagationen_US
dc.typeArticleen_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/TSP.2013.2281037-
dc.identifier.scopuseid_2-s2.0-84887929821-
dc.identifier.hkuros231478en_US
dc.identifier.volume61en_US
dc.identifier.issue23-
dc.identifier.spage5868en_US
dc.identifier.epage5877en_US
dc.identifier.isiWOS:000326942800006-
dc.publisher.placeUnited States-

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