Linear Fusion of Estimators with Gaussian Mixture Errors under Unknown Dependences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922866" target="_blank" >RIV/49777513:23520/14:43922866 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916140" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916140</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Linear Fusion of Estimators with Gaussian Mixture Errors under Unknown Dependences
Original language description
In decentralised state estimation, there are two key problems. The first one is how to fuse estimators that are given by the local processing of locally obtained data. The second one is to compute the description of the fused estimator error supposing the fusion rule is specified. Alternatively, if the global knowledge of the decentralised problem is not available, the second problem may be to provide such a description that does not overvalue the quality of the fused estimator. The last problem is followed in this paper. For local estimator errors with Gaussian mixture densities, an underlying joint Gaussian mixture is supposed. The component indices of the joint Gaussian mixture are supposed to be hidden discrete random variables with unknown probability function. The estimator fusion is considered to be linear with fixed weights. An upper bound of the mean square error matrix of the fused estimator is designed. In a case study, the newly designed upper bound is compared with a curre
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GC13-07058J" target="_blank" >GC13-07058J: Consistent Fusion in Networked Estimation Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th International Conference on Information Fusion
ISBN
978-84-9012-355-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
Salamanca
Event location
Salamanca, Spain
Event date
Jul 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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