• DocumentCode
    809970
  • Title

    Detection of the number of sources at low signal-to-noise ratio

  • Author

    Gu, J.-F. ; Wei, P. ; Tai, H.-M.

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu Sichuan
  • Volume
    1
  • Issue
    1
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    2
  • Lastpage
    8
  • Abstract
    A new method to detect the number of sources in array signal processing is proposed. Most source detection techniques perform reasonably well at medium or high signal-to-noise ratio (SNR), but not at low SNR. This method exploits eigenvectors, instead of sample eigenvalues, for source enumeration. It employs the blind beamforming technique and the peak-to-average power ratio based frequency estimation algorithm to estimate the number of sources. Simulation results show that the proposed method is superior to the minimum description length and predictive description length algorithms at low SNR
  • Keywords
    array signal processing; frequency estimation; signal detection; signal sources; SNR; array signal processing; blind beamforming technique; frequency estimation algorithm; peak-to-average power-ratio; signal-to-noise ratio; source detection techniques; source enumeration;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr:20060019
  • Filename
    4159610