• DocumentCode
    1253700
  • Title

    Nonparametric narrowband wavefront estimation from wavefront gradients

  • Author

    Spagnolini, Umberto

  • Author_Institution
    Dipt. di Eletronica e Inf., Politecnico di Milano
  • Volume
    47
  • Issue
    11
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    3116
  • Lastpage
    3121
  • Abstract
    The wavefield sampled by a two-dimensional (2-D) planar array can he characterized by a delayed signal. This correspondence investigates the problem of the nonparametric estimation of the delay function (or wavefront) when the waveform is narrowband. The wavefront is estimated by integrating the local estimates of the differential time of delay (TOD) of the waveform between neighboring sensors. The ambiguity of the TOD estimator for the narrowband waveform can be conveniently limited by the a priori search interval for the cross correlation method. The reconstruction of the wavefronts is formulated as a least squares problem that is solved iteratively. Errors of the solution are quantified, and the contribution caused by noise is shown to be negligible
  • Keywords
    array signal processing; delay estimation; iterative methods; least squares approximations; nonparametric statistics; TOD estimator; a priori search interval; cross correlation method; delay function; delayed signal; differential time of delay; iterative methods; least squares problem; narrowband waveform; noise; nonparametric estimation; nonparametric narrowband wavefront estimation; reconstruction; two-dimensional planar array; wavefront gradients; Acoustic distortion; Acoustic propagation; Array signal processing; Delay estimation; Narrowband; Nonlinear distortion; Propagation delay; Sensor arrays; Sensor phenomena and characterization; Shape;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.796444
  • Filename
    796444