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Covariance Intersection in Track-to-Track Fusion Without Memory

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929223" target="_blank" >RIV/49777513:23520/16:43929223 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7527998/" target="_blank" >http://ieeexplore.ieee.org/document/7527998/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Covariance Intersection in Track-to-Track Fusion Without Memory

  • Original language description

    Track-to-track fusion (T2TF) can be performed under various information configurations. Under known correlations, information feedback improves the accuracy of the optimal fusion with memory, but it is detrimental to the optimal fusion without memory. This paper investigates the T2TF without memory (T2TFwoM) under unknown correlations, where the optimality is specified by the best guaranteed quality. The steady solutions are compared for three levels of information feedback. It is shown that under unknown correlations, the fusion without memory with information feedback is better than the fusion without memory with no information feedback. However, it is also shown that the fusion without memory with information feedback can be outperformed by the fusion without memory with partial information feedback in some cases. Also, the longterm optimality is analysed and some deficiencies are pointed out.

  • 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/GC16-19999J" target="_blank" >GC16-19999J: Cooperative Approaches to Design of Nonlinear Filters</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

    7

  • Pages from-to

    1027-1033

  • 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

    000391273400137