Inverse Covariance Intersection Fusion of Multiple Estimates

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43959540" target="_blank" >RIV/49777513:23520/20:43959540 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.23919/FUSION45008.2020.9190614" target="_blank" >https://doi.org/10.23919/FUSION45008.2020.9190614</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/FUSION45008.2020.9190614" target="_blank" >10.23919/FUSION45008.2020.9190614</a>

Result language
angličtina
Original language name
Inverse Covariance Intersection Fusion of Multiple Estimates
Original language description
Linear fusion of estimates is a basic tool for combining probabilistic data. If the correlation of estimation errors is unknown, the fusion performance is evaluated with respect to the worst case. Inverse Covariance Intersection fusion is a rule for combining two estimates with partially known crosscorrelation matrix. This paper generalises the rule to fusing multiple estimates. First, the generalised assumption and the essential theory are presented. A suboptimal solution with a simple parametrisation is derived next and it is shown to be better than the solution for unknown correlation. Finally, a recursive fusion of multiple estimates is designed.
Czech name
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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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2020 IEEE 23rd International Conference on Information Fusion (FUSION)
ISBN
978-0-578-64709-8
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
Sun City
Event location
Sun City, Jihoafrická republika
Event date
Jul 6, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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