• DocumentCode
    2371516
  • Title

    Determining manoeuvre detection threshold of GRNN filter in the process of tracking in marine navigational radars

  • Author

    Stateczny, Andrzej ; Kazimierski, Witold

  • Author_Institution
    Szczecin Univ. of Technol., Szczecin
  • fYear
    2008
  • fDate
    21-23 May 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The article presents the results of simulation research aimed at determining the manoeuvre detection threshold of a neuron filter, based on GRNN artificial neural network. The structure of a filter has been presented, from which the necessity of manoeuvre detection results and a detector has been described able to be used in this case; it is based on an analysis of course and speed increase in particular estimation steps. The research was performed by the Monte Carlo method for 100 independent simulations.
  • Keywords
    Monte Carlo methods; marine radar; neural nets; radar detection; radar tracking; radionavigation; tracking filters; Monte Carlo method; artificial neural network; general regression neural network filter; manoeuvre detection threshold; marine navigational radar tracking; neuron filter; Artificial neural networks; Detectors; Education; Filters; Navigation; Radar detection; Radar tracking; Smoothing methods; Statistical analysis; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium, 2008 International
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-83-7207-757-8
  • Type

    conf

  • DOI
    10.1109/IRS.2008.4585757
  • Filename
    4585757