Optimal linear estimation fusion for systems with one-step delays and packet dropouts

This paper considers the distributed optimal (i.e., linear minimum variance) fusion estimation problems for a networked multi-sensor system. In this system, the data transmission is subject to possible random one-step delay and packet dropouts. The results of local estimation have been presented in...

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Bibliographic Details
Published in2015 34th Chinese Control Conference (CCC) pp. 4558 - 4562
Main Authors Jiabing, Sun, Chengjin, Zhang, Xiaoxia, Sun
Format Conference Proceeding Journal Article
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2015
Subjects
Conferences
Covariance matrices
Data transmission
Delay
Delays
Distributed estimation
Dropouts
Electronic mail
Errors
Estimates
Estimation error
Estimators
Information fusion
Multi-sensor systems
Optimization
Packet dropouts
Packet transmission
Random delay
State estimation
Sun
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Summary:This paper considers the distributed optimal (i.e., linear minimum variance) fusion estimation problems for a networked multi-sensor system. In this system, the data transmission is subject to possible random one-step delay and packet dropouts. The results of local estimation have been presented in the literature. The estimation error cross-covariances between local estimates are derived in this paper. By the fusion rule weighted by matrices, the distributed optimal fusion estimators are developed.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
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SourceType-Conference Papers & Proceedings-2
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2015.7260344