• DocumentCode
    483977
  • Title

    On the Shapiro-Wilk Test for the Detection of Pulsed Sinusoidal Radio Frequency Interference

  • Author

    Güner, B. ; Frankford, M. ; Johnson, J.T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The Shapiro-Wilk (S-W) test is a test of normality recommended in the statistical literature for its effectiveness in detecting a wide-variety of non-gaussian signals. Tests for normality can be used for the detection of Radio Frequency Interference (RFI). However, so far only the kurtosis test has been used for this purpose. The performance of the S-W test against pulsed sinusoidal sources is studied in this paper as an alternative method of RFI detection. An overview of the S-W test is provided, and implementation of the test in digital hardware is discussed. Performance of the test was analyzed using Monte Carlo simulations due to the difficulties in obtaining an analytical solution. Results show that the test can provide reasonable performance in detecting pulsed sinu-soidal RFI, and the effect of quantization is minimal in the sensitivity obtained.
  • Keywords
    Monte Carlo methods; radiofrequency interference; statistical analysis; Monte Carlo simulation; RFI detection; Shapiro-Wilk test; digital hardware; kurtosis test; non-Gaussian signals; pulsed sinusoidal radiofrequency interference; Gaussian distribution; Hardware; Microwave radiometry; Performance analysis; Pulse shaping methods; Quantization; Radiofrequency interference; Statistical analysis; Statistical distributions; Testing; Gaussian distributions; Interference suppression; Microwave radiometry; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4778951
  • Filename
    4778951