Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Measures of Nonlinearity and non-Gaussianity in Orbital Uncertainty Propagation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

IEEE

Místo vydání

Ottawa, Kanada

Místo konání akce

Ottawa, Kanada

Datum konání akce

2. 7. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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