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Conference Paper: Localization and time synchronization in wireless sensor networks: a unified approach

TitleLocalization and time synchronization in wireless sensor networks: a unified approach
Authors
Zheng, JWu, YC
KeywordsComputationally efficient
Cramer-rao lower bounds
Joint estimations
Least square estimators
Least square methods
Issue Date2008
PublisherIEEE.
Citation
The IEEE Asia-Pacific Conference on Circuits and Systems (APCCAS 2008), Macao, China, 30 November-3 December 2008. In Proceedings of IEEE APCCAS, 2008, p. 594-597 How to Cite?
DOI: http://dx.doi.org/10.1109/APCCAS.2008.4746093
AbstractLocalization and synchronization are two important issues in communication systems and wireless sensor networks. These two problems are addressed in many applications, and share many aspects in common. However, these two problems are traditionally treated separately. In this paper, we present a unified framework to jointly solve these two problems at the same time. The maximum likelihood joint estimation of location and timing is firstly derived. Then, a more computationally efficient two-stage least square method is proposed. The Cramer-Rao lower bound for the joint localization and time synchronization is also derived. Simulation results show that the performances of the maximum likelihood and two-stage least square estimators can both achieve the Cramer-Rao lower bound. ©2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/62109
ISBN
978-1-4244-2342-2
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZheng, Jen_HK
dc.contributor.authorWu, YCen_HK
dc.date.accessioned2010-07-13T03:54:04Z-
dc.date.available2010-07-13T03:54:04Z-
dc.date.issued2008en_HK
dc.identifier.citationThe IEEE Asia-Pacific Conference on Circuits and Systems (APCCAS 2008), Macao, China, 30 November-3 December 2008. In Proceedings of IEEE APCCAS, 2008, p. 594-597en_HK
dc.identifier.isbn978-1-4244-2342-2-
dc.identifier.urihttp://hdl.handle.net/10722/62109-
dc.description.abstractLocalization and synchronization are two important issues in communication systems and wireless sensor networks. These two problems are addressed in many applications, and share many aspects in common. However, these two problems are traditionally treated separately. In this paper, we present a unified framework to jointly solve these two problems at the same time. The maximum likelihood joint estimation of location and timing is firstly derived. Then, a more computationally efficient two-stage least square method is proposed. The Cramer-Rao lower bound for the joint localization and time synchronization is also derived. Simulation results show that the performances of the maximum likelihood and two-stage least square estimators can both achieve the Cramer-Rao lower bound. ©2008 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2008en_HK
dc.rights©2008 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.subjectComputationally efficient-
dc.subjectCramer-rao lower bounds-
dc.subjectJoint estimations-
dc.subjectLeast square estimators-
dc.subjectLeast square methods-
dc.titleLocalization and time synchronization in wireless sensor networks: a unified approachen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-2342-2&volume=&spage=594&epage=597&date=2008&atitle=Localization+and+time+synchronization+in+wireless+sensor+networks:+a+unified+approach-
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/APCCAS.2008.4746093en_HK
dc.identifier.scopuseid_2-s2.0-62949199833en_HK
dc.identifier.hkuros160151en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-62949199833&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage594en_HK
dc.identifier.epage597en_HK
dc.description.otherThe IEEE Asia-Pacific Conference on Circuits and Systems (APCCAS 2008), Macao, China, 30 November-3 December 2008. In Proceedings of IEEE APCCAS, 2008, p. 594-597-
dc.identifier.scopusauthoridZheng, J=36627820800en_HK
dc.identifier.scopusauthoridWu, YC=7406894786en_HK

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