• DocumentCode
    1448609
  • Title

    A new time delay estimation in subbands for resolving multiple specular reflections

  • Author

    Azimi-Sadjadi, Mahmood R. ; Charleston, S. ; Wilbur, J. ; Dobeck, G.

  • Author_Institution
    Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO
  • Volume
    46
  • Issue
    12
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    3398
  • Lastpage
    3403
  • Abstract
    A new time delay estimation procedure is proposed using the multiresolution analysis framework through a discrete wavelet transform (DWT). Once the signals are decomposed, the time delays are estimated iteratively in each subband using two different adaptation mechanisms that minimize the mean squared error (MSE) between the reference and primary signals in the corresponding subband and level. The localization of the minima of the MSE curves at different levels and subbands is used in order to arrive at the time delay estimates. The proposed scheme is then applied to a real-life problem of underwater target detection from acoustic backscattered data
  • Keywords
    acoustic wave reflection; adaptive filters; adaptive signal detection; backscatter; delay estimation; discrete wavelet transforms; filtering theory; mean square error methods; signal resolution; sonar detection; underwater sound; DWT; MSE curves; SNR; acoustic backscattered data; decimation; discrete wavelet transform; filter bank; iterative estimation; mean squared error; multiple specular reflections; multiresolution analysis; primary signal; reference signal; signal decomposition; signal decorrelation; sonar; subband adaptive filtering; time delay estimation; underwater target detection; Amplitude estimation; Cities and towns; Clutter; Delay effects; Delay estimation; Discrete wavelet transforms; Matched filters; Object detection; Optical reflection; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.735312
  • Filename
    735312