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Particle Based Probability Density Fusion with Differential Shannon Entropy Criterion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898205" target="_blank" >RIV/49777513:23520/11:43898205 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5977439" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5977439</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Particle Based Probability Density Fusion with Differential Shannon Entropy Criterion

  • Original language description

    This paper focuses on a decentralised nonlinear estimation problem in a multiple sensor network. The stress is laid on the optimal fusion of probability densities conditioned by different data. The probability density conditioned by the common data is supposed to be unavailable. The optimal fusion is elaborated in the particle ?ltering and differential Shannon entropy framework. The conversion of weighted particles into a continuous probability density function is performed implicitly by the time update. Further, the issue of sampling density proposal is explored. The proposed approach is illustrated in numerical examples.

  • 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

    803-810

  • 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