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Covariance Estimation and Gaussianity Assessment for State and Measurement Noise

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956256" target="_blank" >RIV/49777513:23520/19:43956256 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.2514/1.G004348" target="_blank" >https://doi.org/10.2514/1.G004348</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2514/1.G004348" target="_blank" >10.2514/1.G004348</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Covariance Estimation and Gaussianity Assessment for State and Measurement Noise

  • Original language description

    This paper deals with estimation and assessment of the characteristics of the noises of a system described by the linear state-space model. In particular, the emphasis on the recently introduced Noise Covariance Matrices Estimation with Gaussianity Assessment (NEGA) method demonstrates the ability to provide unbiased and consistent estimates of the state and measurement noise covariance matrices and a statistical hypothesis-test-based decision regarding the noises Gaussianity for a time-varying model. The NEGA method is briefly reviewed and theoretically extended in three directions; (i) design parameter specification, (ii) thorough analysis on selection of a statistical test for Gaussianity assessment, and (iii) design of efficient algorithm for the time-invariant models. The theoretical results are illustrated in a Monte-Carlo based numerical study using exemplary MATLAB implementations of the method.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Guidance, Control, and Dynamics

  • ISSN

    0731-5090

  • e-ISSN

  • Volume of the periodical

    43

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    132-139

  • UT code for WoS article

    000506663500012

  • EID of the result in the Scopus database

    2-s2.0-85078213283