Truncated Randomized Unscented Kalman Filter for Interval Constrained State Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919523" target="_blank" >RIV/49777513:23520/13:43919523 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6641262" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6641262</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Truncated Randomized Unscented Kalman Filter for Interval Constrained State Estimation
Original language description
The paper deals with state estimation of nonlinear stochastic dynamic systems with constraints imposed on the state. The constraints are considered in the form of a generally nonlinear inequality. Such constrained state estimation problems frequently appear in tracking application where kinematic or geometry constraints often arise. In the paper a truncated randomized unscented Kalman filter is developed that is built on the algorithm of the randomized unscented Kalman filter and a probability density function truncation technique. The proposed filter achieves quality estimates with low computational costs. The proposed filter is illustrated in two numerical tracking examples.
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
<a href="/en/project/TA03030674" target="_blank" >TA03030674: Position, Attitude and Heading Reference System</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
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 16th International Conference on Information Fusion (FUSION 2013)
ISBN
978-605-86311-1-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2081-2088
Publisher name
IEEE
Place of publication
Piscataway
Event location
Istanbul, Turkey
Event date
Jul 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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