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Article: State estimation over a communication network: Measurement or estimate communication?

TitleState estimation over a communication network: Measurement or estimate communication?
Authors
KeywordsKalman Filtering
Networked Estimation
Packet-Dropping Network
Issue Date2010
PublisherHuanan Ligong Daxue. The Journal's web site is located at http://kzllyy1.periodicals.net.cn/
Citation
Journal Of Control Theory And Applications, 2010, v. 8 n. 1, p. 20-26 How to Cite?
AbstractIn this paper we consider the problem of state estimation over a communication network. Using estimation quality as a metric, two communication schemes are studied and compared. In scheme one, each sensor node communicates its measurement data to the remote estimator, while in scheme two, each sensor node communicates its local state estimate to the remote estimator. We show that with perfect communication link, if the sensor has unlimited computation capability, the two schemes produce the same estimate at the estimator, and if the sensor has limited computation capability, scheme one is always better than scheme two. On the other hand, when data packet drops occur over the communication link, we show that if the sensor has unlimited computation capability, scheme two always outperforms scheme one, and if the sensor has limited computation capability, we show that in general there exists a critical packet arrival rate, above which scheme one outperforms scheme two. Simulations are provided to demonstrate the two schemes under various circumstances. © South China University of Technology and Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg 2010.
Persistent Identifierhttp://hdl.handle.net/10722/157044
ISSN
2015 SCImago Journal Rankings: 0.359
References

 

DC FieldValueLanguage
dc.contributor.authorShi, Len_US
dc.contributor.authorYuan, Yen_US
dc.contributor.authorChen, MZQen_US
dc.date.accessioned2012-08-08T08:45:04Z-
dc.date.available2012-08-08T08:45:04Z-
dc.date.issued2010en_US
dc.identifier.citationJournal Of Control Theory And Applications, 2010, v. 8 n. 1, p. 20-26en_US
dc.identifier.issn1672-6340en_US
dc.identifier.urihttp://hdl.handle.net/10722/157044-
dc.description.abstractIn this paper we consider the problem of state estimation over a communication network. Using estimation quality as a metric, two communication schemes are studied and compared. In scheme one, each sensor node communicates its measurement data to the remote estimator, while in scheme two, each sensor node communicates its local state estimate to the remote estimator. We show that with perfect communication link, if the sensor has unlimited computation capability, the two schemes produce the same estimate at the estimator, and if the sensor has limited computation capability, scheme one is always better than scheme two. On the other hand, when data packet drops occur over the communication link, we show that if the sensor has unlimited computation capability, scheme two always outperforms scheme one, and if the sensor has limited computation capability, we show that in general there exists a critical packet arrival rate, above which scheme one outperforms scheme two. Simulations are provided to demonstrate the two schemes under various circumstances. © South China University of Technology and Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg 2010.en_US
dc.languageengen_US
dc.publisherHuanan Ligong Daxue. The Journal's web site is located at http://kzllyy1.periodicals.net.cn/en_US
dc.relation.ispartofJournal of Control Theory and Applicationsen_US
dc.subjectKalman Filteringen_US
dc.subjectNetworked Estimationen_US
dc.subjectPacket-Dropping Networken_US
dc.titleState estimation over a communication network: Measurement or estimate communication?en_US
dc.typeArticleen_US
dc.identifier.emailChen, MZQ:mzqchen@hku.hken_US
dc.identifier.authorityChen, MZQ=rp01317en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11768-010-9178-8en_US
dc.identifier.scopuseid_2-s2.0-73549088761en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-73549088761&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume8en_US
dc.identifier.issue1en_US
dc.identifier.spage20en_US
dc.identifier.epage26en_US
dc.publisher.placeChinaen_US
dc.identifier.scopusauthoridShi, L=7401640779en_US
dc.identifier.scopusauthoridYuan, Y=35306177500en_US
dc.identifier.scopusauthoridChen, MZQ=35085827300en_US
dc.identifier.citeulike6515506-

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