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Article: Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation
Title | Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation |
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Authors | |
Keywords | Carrier frequency offsets (CFOs) estimation Convergence analyses Factor graph Heterogeneous networks |
Issue Date | 2013 |
Publisher | IEEE. 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? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/199097 |
ISSN | 2023 Impact Factor: 4.6 2023 SCImago Journal Rankings: 2.520 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Du, J | en_US |
dc.contributor.author | Wu, YC | en_US |
dc.date.accessioned | 2014-07-22T01:02:52Z | - |
dc.date.available | 2014-07-22T01:02:52Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | IEEE Transactions on Signal Processing, 2013, v. 61 n. 23, p. 5868-5877 | en_US |
dc.identifier.issn | 1053-587X | - |
dc.identifier.uri | http://hdl.handle.net/10722/199097 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=78 | - |
dc.relation.ispartof | IEEE Transactions on Signal Processing | en_US |
dc.subject | Carrier frequency offsets (CFOs) estimation | - |
dc.subject | Convergence analyses | - |
dc.subject | Factor graph | - |
dc.subject | Heterogeneous networks | - |
dc.title | Network-Wide Distributed Carrier Frequency Offsets Estimation and Compensation via Belief Propagation | en_US |
dc.type | Article | en_US |
dc.identifier.email | Wu, YC: ycwu@eee.hku.hk | en_US |
dc.identifier.authority | Wu, YC=rp00195 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TSP.2013.2281037 | - |
dc.identifier.scopus | eid_2-s2.0-84887929821 | - |
dc.identifier.hkuros | 231478 | en_US |
dc.identifier.volume | 61 | en_US |
dc.identifier.issue | 23 | - |
dc.identifier.spage | 5868 | en_US |
dc.identifier.epage | 5877 | en_US |
dc.identifier.isi | WOS:000326942800006 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1053-587X | - |