Solution Separation Unscented Kalman Filter

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956254" target="_blank" >RIV/49777513:23520/19:43956254 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9011214" target="_blank" >https://ieeexplore.ieee.org/document/9011214</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Solution Separation Unscented Kalman Filter
Original language description
State estimation of nonlinear stochastic dynamic systems includes the unscented Kalman filter. The paper focuses on the self-assessment ability of state estimation algorithms, which shows to be useful in the problems involving strong nonlinearity of the model. An algorithm with the self-assessment is capable of informing the user that the state estimate may not be credible. A new algorithm, called solution separation unscented Kalman filter (S2UKF) is proposed, which is inspired by the solution separation technique of the Global Navigation Satellite System (GNSS) receiver autonomous integrity monitoring. The algorithm compares a set of sub-solution estimates with a fullsolution estimate and informs about non-credible estimates. This ability is demonstrated using a simulation example involving the bearings-only tracking problem.
Czech name
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Czech description
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Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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
Event location
Ottawa, Kanada
Event date
Jul 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000567728800057

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