• DocumentCode
    2534408
  • Title

    Verification of multiple model neural tracking filter with ship´s radar

  • Author

    Kazimierski, Witold ; Zaniewicz, Grzegorz ; Stateczny, Andrzej

  • Author_Institution
    Fac. of Navig., Maritime Univ. of Szczecin, Szczecin, Poland
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    549
  • Lastpage
    553
  • Abstract
    The paper presents the research focused on verification of multiple model neural filter in real environment. The filter is a result of the works in the research project and is implemented as a software application. The application is then connected to real radar making the off-line verification possible. The filter was checked against IMO requirements and was compared to other commercially used filters. Estimation errors and delay was the basis for the verification. Achieved results show that proposed solution might be an interesting alternative for numerical filters.
  • Keywords
    filters; marine radar; radar tracking; IMO; delay errors; estimation errors; multiple model neural tracking filter; numerical filters; off-line verification; ship radar; software application; Estimation; Kalman filters; Maximum likelihood detection; Nonlinear filters; Radar tracking; Target tracking; GRNN; marine radar; neural networks; radar tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2012 13th International
  • Conference_Location
    Warsaw
  • ISSN
    2155-5754
  • Print_ISBN
    978-1-4577-1838-0
  • Type

    conf

  • DOI
    10.1109/IRS.2012.6233383
  • Filename
    6233383