• DocumentCode
    1132588
  • Title

    Spectral Analysis and Subtraction of Noise in Radar Signals

  • Author

    Ogura, H. ; Yoshida, Y.

  • Author_Institution
    Kyoto Institute of Technology
  • Issue
    1
  • fYear
    1981
  • Firstpage
    62
  • Lastpage
    71
  • Abstract
    A new method of maximum entropy spectral estimation called the revised maximum entropy method (MEM) is formulated and is applied to the spectral analysis of the echo signals from atmospheric turbulence observed by an incoherent scatter radar. The revised MEM is shown free from many demerits of the other methods for spectral analysis. Further it makes it possible to subtract the white noise usually contained in the data during the processing. Some examples of spectral estimation are shown for the actual radar signals and the simulated data. Another application of the revised MEM is the subtraction of the clutter component which is difficult to do by linear filtering. The method is successfully applied to several data abounding with the clutter to obtain the spectra of the echo signals with less clutter distortion.
  • Keywords
    Atmosphere; Atmospheric waves; Clutter; Entropy; Fluctuations; Radar scattering; Radar signal processing; Radio frequency; Signal processing; Spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.1981.309037
  • Filename
    4102443