Linear Fusion with Element-Wise Knowledge

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965812" target="_blank" >RIV/49777513:23520/22:43965812 - isvavai.cz</a>
Result on the web
<a href="https://dx.doi.org/10.23919/FUSION49751.2022.9841296" target="_blank" >https://dx.doi.org/10.23919/FUSION49751.2022.9841296</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/FUSION49751.2022.9841296" target="_blank" >10.23919/FUSION49751.2022.9841296</a>

Result language
angličtina
Original language name
Linear Fusion with Element-Wise Knowledge
Original language description
The process of combining data and estimates is inherent in estimation problems. This paper focuses on the linear fusion under the assumption that only some elements of the cross-correlation matrix of the estimation errors are known. Configurations of the knowledge are discussed individually for up to five estimates. For an arbitrary number of estimates, a general construction of upper bounds of the joint mean square error matrix is proposed. Last, the relation with the Split Covariance Intersection fusion is discussed. © 2022 International Society of Information Fusion.
Czech name
—
Czech description
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Project
<a href="/en/project/GC20-06054J" target="_blank" >GC20-06054J: Intelligent Distributed Estimation Architectures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 25th International Conference on Information Fusion, FUSION 2022
ISBN
978-1-73774-972-1
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
New York
Event location
Linköping, Sweden
Event date
Jul 4, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000855689000070

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