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Fusion of Multiple Estimates by Covariance Intersection: Why and How It Is Suboptimal

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952487" target="_blank" >RIV/49777513:23520/18:43952487 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.2478/amcs-2018-0040" target="_blank" >https://doi.org/10.2478/amcs-2018-0040</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/amcs-2018-0040" target="_blank" >10.2478/amcs-2018-0040</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fusion of Multiple Estimates by Covariance Intersection: Why and How It Is Suboptimal

  • Original language description

    The fusion under unknown correlations tunes a combination of local estimates in such a way that upper bounds of the admissible mean square error matrices are optimised. Based on the recently discovered relation between the admissible matrices and Minkowski sums of ellipsoids, the optimality of existing algorithms is analysed. Simple examples are used to indicate the reasons for the suboptimality of the covariance intersection fusion of multiple estimates. Further, an extension of the existing family of upper bounds is proposed, which makes it possible to get closer to the optimum, and a general case is discussed. All results are obtained analytically and illustrated graphically.

  • 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

    20202 - Communication engineering and systems

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)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Applied Mathematics and Computer Science

  • ISSN

    1641-876X

  • e-ISSN

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    PL - POLAND

  • Number of pages

    10

  • Pages from-to

    521-530

  • UT code for WoS article

    000446343800009

  • EID of the result in the Scopus database

    2-s2.0-85054088892