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Conference Paper: Fusion estimation for two sensors with nonuniform estimation rates

TitleFusion estimation for two sensors with nonuniform estimation rates
Authors
Issue Date2012
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000188
Citation
The 51st IEEE Annual Conference on Decision and Control (CDC 2012), Maui, HI., 10-13 December 2012. In IEEE Conference on Decision and Control Proceedings, 2012, p. 4083-4088 How to Cite?
AbstractThe fusion estimation is investigated in this paper for two-sensor discrete-time stochastic systems. A finite-horizon optimal linear estimator is designed for each sensor to generate local estimates with a nonuniform estimation rate. Then, a fusion rule with matrix weights in the linear minimum variance sense is designed for each sensor to fuse local estimates from itself and the other sensors. The proposed algorithm reduces to the one that can be used to design asynchronous fusion estimators with uncorrelated measurement noises. Finally, the effectiveness of the proposed results is illustrated by a simulation example of a maneuvering target tracking system. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/221243
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZhang, WA-
dc.contributor.authorLiu, S-
dc.contributor.authorChen, MZ-
dc.contributor.authorYu, L-
dc.date.accessioned2015-11-10T06:33:01Z-
dc.date.available2015-11-10T06:33:01Z-
dc.date.issued2012-
dc.identifier.citationThe 51st IEEE Annual Conference on Decision and Control (CDC 2012), Maui, HI., 10-13 December 2012. In IEEE Conference on Decision and Control Proceedings, 2012, p. 4083-4088-
dc.identifier.isbn978-1-4673-2066-5-
dc.identifier.issn0191-2216-
dc.identifier.urihttp://hdl.handle.net/10722/221243-
dc.description.abstractThe fusion estimation is investigated in this paper for two-sensor discrete-time stochastic systems. A finite-horizon optimal linear estimator is designed for each sensor to generate local estimates with a nonuniform estimation rate. Then, a fusion rule with matrix weights in the linear minimum variance sense is designed for each sensor to fuse local estimates from itself and the other sensors. The proposed algorithm reduces to the one that can be used to design asynchronous fusion estimators with uncorrelated measurement noises. Finally, the effectiveness of the proposed results is illustrated by a simulation example of a maneuvering target tracking system. © 2012 IEEE.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000188-
dc.relation.ispartofIEEE Conference on Decision and Control Proceedings-
dc.rightsIEEE Conference on Decision and Control Proceedings. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleFusion estimation for two sensors with nonuniform estimation rates-
dc.typeConference_Paper-
dc.identifier.emailChen, MZ: mzqchen@hku.hk-
dc.identifier.authorityChen, MZ=rp01317-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/CDC.2012.6426991-
dc.identifier.scopuseid_2-s2.0-84874229200-
dc.identifier.spage4083-
dc.identifier.epage4088-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 151110-

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