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Adaptive frequency-difference matched field processing for high frequency source localization in a noisy shallow

Brian M Worthmann1, H C Song2, David R Dowling3

  • 1Department of Applied Physics, University of Michigan, Ann Arbor, Michigan 48109, USA.

The Journal of the Acoustical Society of America
|February 3, 2017
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Summary
This summary is machine-generated.

Frequency-difference matched field processing (Δf-MFP) enables accurate remote source localization in shallow oceans, even with imperfect environmental data. This advanced acoustic technique improves upon traditional methods for underwater navigation and surveillance.

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Area of Science:

  • Acoustic signal processing
  • Underwater acoustics
  • Array signal processing

Background:

  • Conventional array signal processing struggles with remote source localization above 1 kHz in shallow oceans due to environmental mismatch.
  • Frequency-difference matched field processing (Δf-MFP) offers a solution by utilizing the autoproduct to shift processing to lower frequencies, mitigating environmental uncertainties.

Purpose of the Study:

  • To extend frequency-difference matched field processing (Δf-MFP) to various adaptive matched field processing (MFP) algorithms.
  • To analyze and compare the localization performance of these adaptive Δf-MFP techniques against the Bartlett Δf-MFP using experimental data.

Main Methods:

  • Application of adaptive MFP processors including minimum variance distortionless response, multiple constraint method, multiple signal classification, and matched mode processing.
  • Utilizing the autoproduct, a quadratic product of frequency-domain signal amplitudes, within the Δf-MFP framework.
  • Analysis of localization performance across a range of signal-to-noise ratios (SNRs) from -20 to +20 dB.

Main Results:

  • Successful localization of a sound source using Δf-MFP techniques with average range and depth errors of 200 m and 10 m, respectively.
  • Demonstrated localization capability at signal-to-noise ratios as low as 0 dB.
  • Validation of adaptive Δf-MFP performance using real-world acoustic measurements from the 2011 Kauai Acoustic Communications Multiple University Research Initiative experiment.

Conclusions:

  • Adaptive frequency-difference matched field processing techniques significantly enhance remote source localization accuracy in challenging shallow ocean environments.
  • The autoproduct-based Δf-MFP approach effectively overcomes limitations of traditional methods, particularly in scenarios with imperfect environmental knowledge.
  • Experimental results confirm the robustness and effectiveness of Δf-MFP for underwater acoustic localization even at low SNRs.