Comparison of Adaptive and Randomized Unscented Kalman Filter Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922876" target="_blank" >RIV/49777513:23520/14:43922876 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916234" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916234</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Adaptive and Randomized Unscented Kalman Filter Algorithms
Original language description
The paper deals with state estimation of nonlinear dynamic stochastic systems with a special focus on advanced unscented Kalman filter algorithms. Two algorithms are considered: the adaptive unscented Kalman filter and the randomized unscented Kalman filter. Both algorithms construct one or several s-points set used for an approximation of the conditional state moments. While the adaptive algorithm obtains a s-point set by optimization of a criterion, the randomized algorithm constructs several sets randomly. In the paper, both algorithms are compared and a recommendation for an application of the algorithms is provided. The algorithms are illustrated in a bearings-only target tracking example.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
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 17th International Conference on Information Fusion
ISBN
978-84-9012-355-3
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
Salamanca
Event location
Salamanca, Spain
Event date
Jul 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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