Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956250" target="_blank" >RIV/49777513:23520/19:43956250 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9011445" target="_blank" >https://ieeexplore.ieee.org/document/9011445</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation
Original language description
Orbit uncertainty propagation (OUP) is an important tracking problem appearing in space situational awareness. The uncertainty, which is initially approximately Gaussian, is transformed by the time propagation and eventually becomes non-Gaussian. Gaussian representation of the uncertainty becomes gradually inaccurate, which is often addressed by splitting the Gaussian representation into a mixture of Gaussian densities (GM), which can describe the uncertainty with arbitrary accuracy. Measures of nonlinearity (MoNL) and non-Gaussianity (MoNG) assess the degree of the model nonlinearity around a working point and thus they pose a convenient means to indicate time instants suitable for the splitting. The paper provides an analysis of several MoNLs and MoNGs with a special focus on their behavior in the OUP from the numerical, theoretical, and practical points of view. Based on the analysis, measures eligible for governing the splitting in the OUP based on GM are recommended.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2019 22th International Conference on Information Fusion (FUSION)
ISBN
978-0-9964527-8-6
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
Ottawa, Kanada
Event location
Ottawa, Kanada
Event date
Jul 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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