A Study of Fusions of Multiple Estimates for Limit Cases

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965815" target="_blank" >RIV/49777513:23520/22:43965815 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MFI55806.2022.9913842" target="_blank" >https://doi.org/10.1109/MFI55806.2022.9913842</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MFI55806.2022.9913842" target="_blank" >10.1109/MFI55806.2022.9913842</a>

Result language
angličtina
Original language name
A Study of Fusions of Multiple Estimates for Limit Cases
Original language description
Decentralised estimation often sacrifices optimality for solution simplicity, while within the fusion under unknown correlation, a worst-case type of optimality is adopted. This paper studies the gap between the simple solution and the optimal one for special cases. Namely, symmetric configurations are considered for infinite number of estimates and also for infinite dimension of the state to be estimated. In these academic cases, the optimal solution is better than the simple one by low tens percent, if the size of circumscribing balls is considered. In practice, much lower gap can be expected.
Czech name
—
Czech description
—

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 IEEE International Conference on Multisensor Fusion and Integration (MFI 2022)
ISBN
978-1-66546-026-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Cranfield, Spojené království
Event location
Cranfield, Spojené království
Event date
Sep 20, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000885890800003

Similar results(10)