• DocumentCode
    1436181
  • Title

    Fast computation of the ambiguity function and the Wigner distribution on arbitrary line segments

  • Author

    Özdemir, Ahmet Kemal ; Arikan, Orhan

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
  • Volume
    49
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    381
  • Lastpage
    393
  • Abstract
    By using the fractional Fourier transformation of the time-domain signals, closed-form expressions for the projections of their auto or cross ambiguity functions are derived. Based on a similar formulation for the projections of the auto and cross Wigner distributions and the well known two-dimensional (2-D) Fourier transformation relationship between the ambiguity and Wigner domains, closed-form expressions are obtained for the slices of both the Wigner distribution and the ambiguity function. By using discretization of the obtained analytical expressions, efficient algorithms are proposed to compute uniformly spaced samples of the Wigner distribution and the ambiguity function located on arbitrary line segments. With repeated use of the proposed algorithms, samples in the Wigner or ambiguity domains can be computed on non-Cartesian sampling grids, such as polar grids
  • Keywords
    Fourier transforms; Radon transforms; Wigner distribution; signal processing; signal sampling; time-frequency analysis; Radon-Wigner transformation; Wigner distribution; ambiguity function; arbitrary line segments; auto ambiguity; closed-form expressions; cross ambiguity; fast computation; fractional Fourier transformation; nonCartesian sampling grids; polar grids; time-domain signals; time-frequency signal processing; two-dimensional Fourier transformation; uniformly spaced samples; Algorithm design and analysis; Closed-form solution; Distributed computing; Grid computing; Kernel; Radar signal processing; Signal analysis; Signal processing algorithms; Time domain analysis; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.902121
  • Filename
    902121