A Geometrical Perspective on Fusion under Unknown Correlations based on Minkowski Sums

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932621" target="_blank" >RIV/49777513:23520/17:43932621 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.23919/ICIF.2017.8009722" target="_blank" >http://dx.doi.org/10.23919/ICIF.2017.8009722</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/ICIF.2017.8009722" target="_blank" >10.23919/ICIF.2017.8009722</a>

Result language
angličtina
Original language name
A Geometrical Perspective on Fusion under Unknown Correlations based on Minkowski Sums
Original language description
In decentralised estimation, locally measured data are processed locally and the local filters are unaware of the other ones. Due to the lack of the global knowledge, the fusion of the local estimates cannot utilise the correlations of the local estimate errors in the computation of the fused mean square error matrix. For this reason, algorithms of fusion under unknown correlations have been designed to provide upper bounds of these matrices. This paper reveals a fundamental relation between the upper bounds and Minkowski sums of ellipsoids. The obtained insight improves the comprehension of the fusion algorithms. Application of the ellipsoidal calculus is illustrated using elemental examples.
Czech name
—
Czech description
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Project
<a href="/en/project/GC16-19999J" target="_blank" >GC16-19999J: Cooperative Approaches to Design of Nonlinear Filters</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2017 20th International Conference on Information Fusion
ISBN
978-0-9964527-0-0
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
725-732
Publisher name
IEEE
Place of publication
Xi'an
Event location
Xi'an, China
Event date
Jul 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000410938300104

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