On Linear Estimation Fusion under Unknown Correlations of Estimator Errors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922865" target="_blank" >RIV/49777513:23520/14:43922865 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3182/20140824-6-ZA-1003.00875" target="_blank" >http://dx.doi.org/10.3182/20140824-6-ZA-1003.00875</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20140824-6-ZA-1003.00875" target="_blank" >10.3182/20140824-6-ZA-1003.00875</a>
Alternative languages
Result language
angličtina
Original language name
On Linear Estimation Fusion under Unknown Correlations of Estimator Errors
Original language description
The linear fusion of estimators is widely used in decentralised state estimation. Because the maintaining of estimation error cross-correlations between local estimators is not affordable in large-scale problems, approaches dealing with unknown correlations were developed. The Covariance Intersection fusion is a linear fusion of estimators and it provides a fused estimator quality matrix that does not undervalue the mean square error matrix. This paper derives the matrix of the fused estimator quality for arbitrary weights of the linear fusion rule that considers the unknown correlations. It also shows that there can exist better matrices of the fused estimator quality than the ones proposed by the Covariance Intersection fusion rule.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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 19th IFAC World Congress, 2014
ISBN
978-3-902823-62-5
ISSN
1474-6670
e-ISSN
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Number of pages
6
Pages from-to
2364-2369
Publisher name
Elsevier
Place of publication
Cape Town
Event location
Cape Town, South Africa
Event date
Aug 24, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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