• DocumentCode
    326266
  • Title

    The probability distribution of NSCAT measurements

  • Author

    Johnson, Paul E. ; Long, David G.

  • Author_Institution
    MERS Lab., Brigham Young Univ., Provo, UT, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    6-10 Jul 1998
  • Firstpage
    949
  • Abstract
    Due to the on-board signal processing used by NSCAT, the Gaussian distribution model for the power measurements used in the wind retrieval algorithm is only an approximation to the actual distribution. Working from first principles and the design of the NSCAT signal processor the authors derive the distribution of the NSCAT measurements as a function of the normalized radar cross section, NRCS, the signal to noise ratio and the cell number. The resulting distribution is skewed relative to the traditional Gaussian model. Simple compass simulations are used to compare the accuracy of winds estimated using the actual and Gaussian model distributions. These results are readily generalizable to other scatterometers and applications involving spectral estimation from averaging modified periodograms
  • Keywords
    atmospheric techniques; meteorological radar; remote sensing by radar; wind; Gaussian distribution model; NSCAT; atmosphere; measurement technique; meteorological radar; normalized radar cross section; on-board signal processing; probability distribution; radar remote sensing; radar scatterometry; retrieval algorithm; spaceborne radar; wind; Approximation algorithms; Gaussian distribution; Noise measurement; Power measurement; Probability distribution; Radar cross section; Signal design; Signal processing; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-4403-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.1998.699636
  • Filename
    699636