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Article: Joint time synchronization and localization of an unknown node in wireless sensor networks

TitleJoint time synchronization and localization of an unknown node in wireless sensor networks
Authors
KeywordsAnchor uncertainties
Constrained weighted least squares
Generalized total least squares
Localization
Maximum likelihood
Time synchronization
Issue Date2010
PublisherIEEE.
Citation
Ieee Transactions On Signal Processing, 2010, v. 58 n. 3 PART 1, p. 1309-1320 How to Cite?
AbstractTime synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditionally treated separately. In this paper, we present a unified framework to jointly solve time synchronization and localization problems at the same time. Furthermore, since the accuracy of synchronization and localization is very sensitive to the accuracy of anchor timings and locations, the joint time synchronization and localization problem with inaccurate anchors is also considered in this paper. For the case with accurate anchors, the joint maximum likelihood estimator and a more computationally efficient least squares (LS) estimator are proposed. When the anchor timings and locations are inaccurate, a generalized total least squares (GTLS) scheme is proposed. Cramér-Rao lower bounds (CRLBs) and the analytical mean square error (MSE) expressions of the LS based estimators are derived for both accurate and inaccurate anchor cases. Results show that the proposed joint estimators exhibit performances close to their respective CRLBs and outperform the separate time synchronization and localization approach. Furthermore, the derived analytical MSE expressions predict the performances of the proposed joint estimators very well.
Persistent Identifierhttp://hdl.handle.net/10722/124743
ISSN
2015 Impact Factor: 2.624
2015 SCImago Journal Rankings: 2.004
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZheng, Jen_HK
dc.contributor.authorWu, YCen_HK
dc.date.accessioned2010-10-31T10:51:34Z-
dc.date.available2010-10-31T10:51:34Z-
dc.date.issued2010en_HK
dc.identifier.citationIeee Transactions On Signal Processing, 2010, v. 58 n. 3 PART 1, p. 1309-1320en_HK
dc.identifier.issn1053-587Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/124743-
dc.description.abstractTime synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditionally treated separately. In this paper, we present a unified framework to jointly solve time synchronization and localization problems at the same time. Furthermore, since the accuracy of synchronization and localization is very sensitive to the accuracy of anchor timings and locations, the joint time synchronization and localization problem with inaccurate anchors is also considered in this paper. For the case with accurate anchors, the joint maximum likelihood estimator and a more computationally efficient least squares (LS) estimator are proposed. When the anchor timings and locations are inaccurate, a generalized total least squares (GTLS) scheme is proposed. Cramér-Rao lower bounds (CRLBs) and the analytical mean square error (MSE) expressions of the LS based estimators are derived for both accurate and inaccurate anchor cases. Results show that the proposed joint estimators exhibit performances close to their respective CRLBs and outperform the separate time synchronization and localization approach. Furthermore, the derived analytical MSE expressions predict the performances of the proposed joint estimators very well.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Signal Processingen_HK
dc.rightsIEEE Transactions on Signal Processing. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
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.subjectAnchor uncertaintiesen_HK
dc.subjectConstrained weighted least squaresen_HK
dc.subjectGeneralized total least squaresen_HK
dc.subjectLocalizationen_HK
dc.subjectMaximum likelihooden_HK
dc.subjectTime synchronizationen_HK
dc.titleJoint time synchronization and localization of an unknown node in wireless sensor networksen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-587X&volume=58&issue=3&spage=1309&epage=1320&date=2010&atitle=Joint+time+synchronization+and+localization+of+an+unknown+node+in+wireless+sensor+networks-
dc.identifier.emailWu, YC:ycwu@eee.hku.hken_HK
dc.identifier.authorityWu, YC=rp00195en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TSP.2009.2032990en_HK
dc.identifier.scopuseid_2-s2.0-78650438637en_HK
dc.identifier.hkuros175295en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650438637&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume58en_HK
dc.identifier.issue3 PART 1en_HK
dc.identifier.spage1309en_HK
dc.identifier.epage1320en_HK
dc.identifier.isiWOS:000274472600030-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZheng, J=36627820800en_HK
dc.identifier.scopusauthoridWu, YC=7406894786en_HK

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