• DocumentCode
    3337687
  • Title

    Scattering function and time-frequency signal processing

  • Author

    Nguyen, Linh-Trung ; Senadji, Bouchra ; Boashash, Boualem

  • Author_Institution
    Signal Process. Res. Centre, Queensland Univ., Brisbane, Qld., Australia
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3597
  • Abstract
    The estimation of the scattering function in a time-frequency selective fading mobile environment is considered. The scattering function explicitly reveals the time-frequency selective behavior of the fading channel under the well-known wide-sense stationary Gaussian process with uncorrelated scattering (WSSUS) assumption. We propose two classes of estimators based on a time-frequency framework that generalize the existing estimators while giving an extra freedom according to different criteria wanted to be achieved in the estimation of the scattering function. Instead of using the Woodward ambiguity function or symmetric ambiguity function, we use the generalized ambiguity function which comes from the general class of quadratic time-frequency distributions
  • Keywords
    Gaussian processes; electromagnetic wave scattering; fading channels; mobile radio; signal processing; time-frequency analysis; WSSUS assumption; fading channel; generalized ambiguity function; mobile environment; quadratic time-frequency distributions; scattering function estimation; selective fading; time-frequency signal processing; uncorrelated scattering; wide-sense stationary Gaussian process; Delay; Doppler shift; Fading; Frequency estimation; Gaussian processes; Mobile communication; Scattering; Signal processing; Statistics; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940620
  • Filename
    940620