• DocumentCode
    514934
  • Title

    Estimating Phase Difference and Lead of Discrete Cosine Ultrasonic Wave Signals Based on Hilbert Transform and Lissajous Figure Features

  • Author

    Long Jianjun ; Wu Baihai ; Wu Jinping

  • Author_Institution
    Fac. of Electromech. Eng., Guangdong Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    It is required to measure the phase difference and lead of two trains of cosine ultrasonic wave (CSUW) in underwater positioning with a super short base line (SSBL) based on a sound beacon. This paper presents an improved method to estimate the phase difference based on Hilbert transform, and does an effective one to identify their phase lead based on Lissajous figure features. According to the proposed methods, simulation is performed with cosine waves superposing a Gaussian noise, and the results of it indicated that error of phase difference is less than 0.001 degrees degree when a SNR is bigger 45 and that identification of phase lead is valid and correct in a tiny phase difference. Furthermore, an experiment set-up has been developed to verify the effectiveness of the proposed method.
  • Keywords
    Gaussian noise; Hilbert transforms; acoustic signal processing; ultrasonic waves; Gaussian noise; Hilbert transform; Lissajous figure features; discrete cosine ultrasonic wave signals; phase difference estimation; sound beacon; super short base line; Acoustic measurements; Discrete transforms; Fast Fourier transforms; Frequency; Phase estimation; Phase measurement; Position measurement; Signal analysis; Signal sampling; Ultrasonic variables measurement; Cosine Ultrasonic Wave; Hilbert Transform; Lissajous Figure; Phase Difference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.449
  • Filename
    5459921