Measurement Difference Autocovariance Method for Noise Covariance Matrices Estimation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929736" target="_blank" >RIV/49777513:23520/16:43929736 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CDC.2016.7798581" target="_blank" >http://dx.doi.org/10.1109/CDC.2016.7798581</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CDC.2016.7798296" target="_blank" >10.1109/CDC.2016.7798296</a>
Alternative languages
Result language
angličtina
Original language name
Measurement Difference Autocovariance Method for Noise Covariance Matrices Estimation
Original language description
The paper deals with the estimation of the noise covariance matrices of a linear time-varying system described by the state-space model. In particular, the stress is laid on the correlation methods and a novel method, the measurement difference autocovariance method, is proposed. The proposed method is based on the statistical analysis of differenced linearly transformed and shifted measurements resulting in a system of linear matrix equations. Compared to other correlation methods, the proposed method provides unbiased estimates even for a finite number of measurements. The theoretical results are discussed and illustrated in numerical examples.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
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)
Others
Publication year
2016
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 55th IEEE Conference on Decision and Control (CDC)
ISBN
978-1-5090-1837-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
365-370
Publisher name
IEEE
Place of publication
neuveden
Event location
Las Vegas, USA
Event date
Dec 12, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000400048100060