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Characteristic Function Based Performance Index for Bayesian Filters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929222" target="_blank" >RIV/49777513:23520/16:43929222 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7528106" target="_blank" >http://ieeexplore.ieee.org/document/7528106</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Characteristic Function Based Performance Index for Bayesian Filters

  • Original language description

    The paper deals with state estimation of nonlinear stochastic dynamic systems in the Bayesian framework. In particular, the stress is laid on an introduction of a performance index, which can inform about working conditions of the filter and about the quality of approximations used by the filter. The performance index is based on the characteristic function and two its applications are treated: i) its usage as a non-Gaussianity measure to inform a Gaussian filter about the validity of its assumption and ii) its utilization as an optimization criterion providing parameters of a Gaussian mixture used to replace a Gaussian density to improve estimate quality.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GA15-12068S" target="_blank" >GA15-12068S: Adaptive Approaches to State Estimation of Nonlinear Stochastic Systems</a><br>

  • 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 19th International  Conference  on  Information  Fusion

  • ISBN

    978-0-9964527-4-8

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1837-1844

  • Publisher name

    IEEE

  • Place of publication

    Heidelberg

  • Event location

    Heidelberg, Germany

  • Event date

    Jul 5, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000391273400244