Fusion of Multiple Estimates by Covariance Intersection: Why and How It Is Suboptimal
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952487" target="_blank" >RIV/49777513:23520/18:43952487 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.2478/amcs-2018-0040" target="_blank" >https://doi.org/10.2478/amcs-2018-0040</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/amcs-2018-0040" target="_blank" >10.2478/amcs-2018-0040</a>
Alternative languages
Result language
angličtina
Original language name
Fusion of Multiple Estimates by Covariance Intersection: Why and How It Is Suboptimal
Original language description
The fusion under unknown correlations tunes a combination of local estimates in such a way that upper bounds of the admissible mean square error matrices are optimised. Based on the recently discovered relation between the admissible matrices and Minkowski sums of ellipsoids, the optimality of existing algorithms is analysed. Simple examples are used to indicate the reasons for the suboptimality of the covariance intersection fusion of multiple estimates. Further, an extension of the existing family of upper bounds is proposed, which makes it possible to get closer to the optimum, and a general case is discussed. All results are obtained analytically and illustrated graphically.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
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)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Applied Mathematics and Computer Science
ISSN
1641-876X
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
3
Country of publishing house
PL - POLAND
Number of pages
10
Pages from-to
521-530
UT code for WoS article
000446343800009
EID of the result in the Scopus database
2-s2.0-85054088892