• DocumentCode
    3596010
  • Title

    Estimation of meteorological objects energy spectra in pulse Doppler weather radar

  • Author

    Rachkov, Dmytro S. ; Lekhovytskiy, David I. ; Semeniaka, Andrii V. ; Atamanskiy, Dmytro V. ; Laurukevich, Uladzimir U. ; Pushkov, Alexander A.

  • Author_Institution
    Kharkiv Nat. Univ. of Radio Electron., Kharkiv, Ukraine
  • Volume
    2
  • fYear
    2013
  • Firstpage
    811
  • Lastpage
    817
  • Abstract
    This paper addresses a comparative study of different methods for estimation of continuous energy spectra of reflections from meteorological objects in pulse Doppler weather radars. We analyze these methods´ “extreme” capabilities on reconstruction of continuous spectra under hypothetic conditions of known statistical characteristics of input signals. We investigate also spectral estimation methods´ “real” capabilities under real-world operational conditions with parametric a priori uncertainty and small-size samples being used for estimation of a priori unknown parameters of reflections. The causes of known drawbacks of classical (nonparametric) spectral estimation (SE) methods are discussed. Then we consider parametric SE methods, sources of their drawbacks and ways to overcome them, and efficient ways of practical implementation.
  • Keywords
    Doppler radar; meteorological radar; SE method; classical spectral estimation method; continuous spectra reconstruction; hypothetic conditions; meteorological objects energy spectra estimation; parametric a priori uncertainty; pulse Doppler weather radar; real-world operational conditions; spectral estimation method; statistical characteristics; Estimation; Maximum likelihood detection; Nonlinear filters; Power harmonic filters; Reflection; Silicon carbide; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2013 14th International
  • Print_ISBN
    978-1-4673-4821-8
  • Type

    conf

  • Filename
    6581679