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Linear Fusion of Estimators with Gaussian Mixture Errors under Unknown Dependences

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922866" target="_blank" >RIV/49777513:23520/14:43922866 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916140" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6916140</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Linear Fusion of Estimators with Gaussian Mixture Errors under Unknown Dependences

  • Original language description

    In decentralised state estimation, there are two key problems. The first one is how to fuse estimators that are given by the local processing of locally obtained data. The second one is to compute the description of the fused estimator error supposing the fusion rule is specified. Alternatively, if the global knowledge of the decentralised problem is not available, the second problem may be to provide such a description that does not overvalue the quality of the fused estimator. The last problem is followed in this paper. For local estimator errors with Gaussian mixture densities, an underlying joint Gaussian mixture is supposed. The component indices of the joint Gaussian mixture are supposed to be hidden discrete random variables with unknown probability function. The estimator fusion is considered to be linear with fixed weights. An upper bound of the mean square error matrix of the fused estimator is designed. In a case study, the newly designed upper bound is compared with a curre

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BC - Theory and management systems

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GC13-07058J" target="_blank" >GC13-07058J: Consistent Fusion in Networked Estimation Systems</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • 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 17th International Conference on Information Fusion

  • ISBN

    978-84-9012-355-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1-8

  • Publisher name

    IEEE

  • Place of publication

    Salamanca

  • Event location

    Salamanca, Spain

  • Event date

    Jul 7, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article