• DocumentCode
    812303
  • Title

    Using the sphericity test for source detection with narrow-band passive arrays

  • Author

    Williams, Douglas B. ; Johnson, Don H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
  • Volume
    38
  • Issue
    11
  • fYear
    1990
  • fDate
    11/1/1990 12:00:00 AM
  • Firstpage
    2008
  • Lastpage
    2014
  • Abstract
    A new sphericity test statistic is proposed for the complex case with a distribution that approaches the asymptotic chi-squared distribution much faster than previously proposed statistics, especially for situations in which the sources are very difficult to detect, such as closely spaced or weak sources. Consequently, the probability of a correct estimate is superior to those resulting from other sphericity tests. The capability of this new sphericity test to detect closely space sources is examined and compared to the resolution capabilities of bearing estimation algorithms as well as other well-known source detection algorithms
  • Keywords
    acoustic signal processing; probability; signal detection; asymptotic chi-squared distribution; narrow-band passive arrays; probability; sonar; source detection algorithms; sphericity test statistic; Acoustic testing; Array signal processing; Autocorrelation; Entropy; Extrapolation; Narrowband; Signal processing algorithms; Space technology; Spectral analysis; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.103104
  • Filename
    103104