• DocumentCode
    3320895
  • Title

    A time frequency approach to CFAR detection

  • Author

    Layeghy, Siamak ; Odabaee, M. ; Khlif, M.S. ; Amindavar, H.R.

  • Author_Institution
    Centre for Clinical Res., Univ. of Queensland, Herston, QLD, Australia
  • fYear
    2011
  • fDate
    14-17 Dec. 2011
  • Firstpage
    230
  • Lastpage
    234
  • Abstract
    Simultaneous analysis of signals in time and frequency domains is a standard approach in many signal processing applications including some detection. Parameters of clutter, noise and interference, and in some cases Doppler specifications, are the basis for most of current CFAR target detection techniques. When these parameters are unknown, most of current detection methods do not perform well. In this paper, a detection approach is introduced using time-frequency (TF) signal analysis. The method is non-parametric and by analysis of the spectrogram of the input, the presence of target signal is localized in time domain. Then, the signal detection is achieved using an adaptive thresholding.
  • Keywords
    radar detection; radar signal processing; time-frequency analysis; CFAR target detection techniques; Doppler specifications; adaptive thresholding; nonparametric method; signal detection; signal processing applications; spectrogram analysis; time-frequency signal analysis; Coherence; Indium phosphide; Time frequency analysis; Transforms; CFAR; Doppler; GLRT; Time-frequency analysis; Tolerance Interval; spectrogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
  • Conference_Location
    Bilbao
  • Print_ISBN
    978-1-4673-0752-9
  • Electronic_ISBN
    978-1-4673-0751-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2011.6151565
  • Filename
    6151565