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The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
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Reconstructing surface wave profiles from reflected acoustic pulses using multiple receivers.

Sean P Walstead1, Grant B Deane1

  • 1Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California 92093-0238.

The Journal of the Acoustical Society of America
|August 7, 2014
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Summary
This summary is machine-generated.

Acoustic signals precisely map surface gravity wave shapes using an inverse algorithm. This method reconstructs wave profiles with high confidence within Fresnel zones, validated by high-speed cameras.

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Area of Science:

  • Fluid dynamics
  • Acoustics
  • Wave mechanics

Background:

  • Surface gravity waves are fundamental in oceanography and coastal engineering.
  • Accurate characterization of wave shapes is crucial for understanding wave dynamics and interactions.
  • Traditional measurement techniques can be limited in resolution or scope.

Purpose of the Study:

  • To develop and validate an acoustic inverse method for reconstructing surface wave shapes.
  • To compare the accuracy and confidence of acoustically derived wave profiles with camera-based measurements.
  • To assess the spatial resolution and accuracy limitations of the acoustic reconstruction within Fresnel zones.

Main Methods:

  • Utilizing underwater reflected acoustic signals (300 kHz) from paddle-generated waves.
  • Employing an inverse processing algorithm with a broadband forward scattering model (Kirchhoff's diffraction).
  • Implementing a self-starting algorithm for source/receiver geometry and initial wave shape estimation.
  • Validating results with high-speed camera ground-truth measurements.

Main Results:

  • Reconstruction of 50 surface wave shapes over a 2.10 m span.
  • Acoustically derived wave profiles showed higher statistical confidence than camera profiles within Fresnel zones.
  • Accurate surface reconstruction achieved a resolution of approximately a quarter-acoustic-wavelength within Fresnel zones.
  • Multiple overlapping Fresnel zones enhanced reconstruction accuracy and confidence.

Conclusions:

  • The acoustic inverse method provides a robust and accurate means for surface wave shape reconstruction.
  • Fresnel zone analysis is critical for understanding the spatial accuracy and confidence of acoustic wave measurements.
  • This technique offers a promising alternative for detailed surface wave field characterization.