• DocumentCode
    3264561
  • Title

    The Estimation Method on the Phase Delay Between Two Real Signals

  • Author

    Changlin, Jinwei

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol., Chengdu
  • Volume
    1
  • fYear
    2006
  • fDate
    38869
  • Firstpage
    394
  • Lastpage
    397
  • Abstract
    It is important to estimate the phase delay between two real signals under Gaussian noise correctly. Some simple time-domain and frequency-domain methods are often to be used to estimate the phase delay between two real sinusoids signals. The time-domain ways are one way that based phase-time conversion or the generalized cross correlation (GCC) approach, there are many methods improved on them, such as the unbiased quartered delay estimator (UQDE), which delays two signals to get their quartered part, and then compute the phase delay. The frequency-domain way is given by the fast Fourier transforms on two signals. It is shown the conclusion by investigation: these ways can also be used to estimate the phase delay between two arbitrary real compound signals without reference to the frequency of two signals, and it is no limit to the single frequency signal. The feasibility is shown by the simulation result
  • Keywords
    Gaussian noise; correlation methods; delay estimation; fast Fourier transforms; frequency-domain analysis; time-domain analysis; FFT; GCC approach; Gaussian noise; fast Fourier transform; frequency-domain methods; generalized cross correlation; phase delay estimation method; phase-time conversion; real sinusoids signal; time-domain methods; Amplitude estimation; Delay estimation; Fast Fourier transforms; Fourier transforms; Frequency conversion; Frequency estimation; Gaussian noise; Phase estimation; Signal processing; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems Proceedings, 2006 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7803-9584-0
  • Electronic_ISBN
    0-7803-9585-9
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2006.284661
  • Filename
    4063905