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Broadband sparse-array blind deconvolution using frequency-difference beamforming.

Shima H Abadi1, H C Song, David R Dowling

  • 1Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA. shimah@umich.edu

The Journal of the Acoustical Society of America
|November 14, 2012
PubMed
Summary
This summary is machine-generated.

Synthetic time reversal (STR) now works with widely spaced arrays. New frequency-difference beamforming estimates source phase, improving blind deconvolution in complex underwater sound environments.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Underwater Acoustics

Background:

  • Synthetic time reversal (STR) is a blind deconvolution technique for acoustic signals.
  • Conventional STR requires closely spaced array elements for phase estimation.
  • Multipath propagation in underwater environments poses challenges for acoustic signal recovery.

Purpose of the Study:

  • To extend Synthetic Time Reversal (STR) for use with widely spaced receiving arrays.
  • To develop a new method for estimating source signal phase using frequency-difference beamforming.
  • To validate the enhanced STR technique through simulations and experimental data.

Main Methods:

  • Utilized frequency-difference beamforming (f2 - f1) to estimate source signal phase.
  • Employed a 16-element vertical array with 3.75m element spacing.
  • Tested the method with broadband signals (11-19 kHz) in simulated and measured underwater environments (FAF06 experiment).

Main Results:

  • Achieved high cross-correlation coefficients (98% for simulations, 91%-92% for experiments) between broadcast and reconstructed signals.
  • Demonstrated successful blind deconvolution with widely spaced array elements where conventional beamforming fails.
  • Showed that frequency-difference beamforming can determine signal-path-arrival angles.

Conclusions:

  • The extended STR technique effectively performs blind deconvolution with sparse arrays.
  • Frequency-difference beamforming is a viable method for phase estimation in challenging acoustic conditions.
  • This advancement broadens the applicability of STR in underwater acoustic signal processing.