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Gaussian Sum Unscented Kalman Filter with Adaptive Scaling Parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898214" target="_blank" >RIV/49777513:23520/11:43898214 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5977649" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5977649</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Gaussian Sum Unscented Kalman Filter with Adaptive Scaling Parameters

  • Original language description

    The paper deals with state estimation of nonlinear non-Gaussian discrete dynamic systems by a bank of unscented Kalman filters. The stress is laid on an adaptive choice of a scaling parameter of the unscented Kalman filters to increase estimate quality over the standard Gaussian sum unscented Kalman filter. Several optimization criteria for adapting the scaling parameter are proposed and discussed and to apply the scaling parameter adaptation within the Gaussian sum framework, three adaptation procedures are proposed. Performance of the proposed estimation methods is analyzed through the root mean square error and non-credibility index in a numerical example.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

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

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceeding of the 14th International Conference on Information Fusion

  • ISBN

    978-1-4577-0267-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    9-16

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Chicago, Illinois, USA

  • Event date

    Jul 5, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article