Performance evaluation of iterated extended Kalman filter with variable step-length

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926640" target="_blank" >RIV/49777513:23520/15:43926640 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1088/1742-6596/659/1/012022" target="_blank" >http://dx.doi.org/10.1088/1742-6596/659/1/012022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1742-6596/659/1/012022" target="_blank" >10.1088/1742-6596/659/1/012022</a>

Result language
angličtina
Original language name
Performance evaluation of iterated extended Kalman filter with variable step-length
Original language description
The paper deals with state estimation of nonlinear stochastic dynamic systems. In particular, the iterated extended Kalman filter is studied. Three recently proposed iterated extended Kalman filter algorithms are analyzed in terms of their performance and specification of a user design parameter, more specifically the step-length size. The performance is compared using the root mean square error evaluating the state estimate and the noncredibility index assessing covariance matrix of the estimate error.The performance and influence of the design parameter, are analyzed in a numerical simulation.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BC - Theory and management systems
OECD FORD branch
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Project
<a href="/en/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptive Approaches to State Estimation of Nonlinear Stochastic Systems</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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