• DocumentCode
    3462562
  • Title

    Fast and High-Resolution PCL Radar Detection in Noisy Environment

  • Author

    Bayat, S. ; Emadi, M. ; Mousavi, M.R. ; Jafargholi, A. ; Nayebi, M.M.

  • Author_Institution
    Tarbiat Modares University, Department of Electrical Engineering, P. O. Box: 14155-4838, TEHRAN, IRAN. e-mail: bayats@modares.ac.ir
  • fYear
    2006
  • fDate
    24-26 May 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Multiple target detection in conventional PCL (Passive Coherent Location) radar systems by means of Ambiguity Function Processing and without any powerful algorithm is impossible. Presented Gradual Clean Algorithm (GCA) is a new and simple method, which could provide the perfect detection in noisy environment and heavy clutter condition up to SNR=-15 dB and SCR=-100 dB (clutter is assumed as a distributed target with large RCS). Determining the number of real targets and keeping the false alarm probability approximately constant are the presented algorithm capabilities.
  • Keywords
    Object detection; Passive radar; Radar clutter; Radar cross section; Radar detection; Radar scattering; Radar signal processing; Signal processing; Signal processing algorithms; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium, 2006. IRS 2006. International
  • Conference_Location
    Krakow, Poland
  • Print_ISBN
    978-83-7207-621-2
  • Type

    conf

  • DOI
    10.1109/IRS.2006.4338046
  • Filename
    4338046