• DocumentCode
    482022
  • Title

    Hydrometeor type and turbulence intensity recognition with Doppler-polarimetric radar

  • Author

    Yanovsky, Felix ; Ostrovsky, Yaroslav ; Marchuk, Vitaly

  • Author_Institution
    Nat. Aviation Univ., Kiev
  • fYear
    2008
  • fDate
    30-31 Oct. 2008
  • Firstpage
    88
  • Lastpage
    91
  • Abstract
    This paper presents some new results on Doppler-polarimetric radar application to recognition both hydrometeor type and turbulence intensity level. The results are obtained by using the integrated approach proposed earlier and application of fuzzy logic - neural network recognition technique. Measurable variables are described. Based on physical considerations, calculations, and modelling, the parameterization for different situations is done and fuzzy logic procedures are developed and applied to real data processing. Finally, fuzzy logic recognition results are used for neural network procedure training.
  • Keywords
    Doppler radar; electrical engineering computing; fuzzy logic; fuzzy neural nets; hydrometers; radar polarimetry; Doppler-polarimetric radar; fuzzy logic recognition; neural network recognition technique; turbulence intensity recognition; Atmospheric measurements; Atmospheric modeling; Data processing; Fuzzy logic; Meteorology; Neural networks; Phase measurement; Polarization; Radar applications; Reflectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. EuRAD 2008. European
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-2-87487-009-5
  • Type

    conf

  • Filename
    4760808