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A high-order time-delay difference estimation method for signal enhancement in the distorted towed hydrophone array.

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This study introduces a novel method to enhance underwater acoustic signals distorted by non-linear towed hydrophone arrays. The technique uses high-order time-delay difference estimation and time-frequency autofocus, improving passive sonar beamforming performance.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Passive sonar systems rely on towed hydrophone arrays for underwater acoustic signal detection.
  • Deviations from ideal linear array configurations degrade beamforming performance, impacting signal detection and localization.
  • Existing methods often struggle with complex array distortions or require prior knowledge of the array's geometry.

Purpose of the Study:

  • To develop a robust method for improving underwater acoustic signal quality in the presence of towed hydrophone array distortion.
  • To enhance the beamforming performance of non-linear hydrophone arrays without prior knowledge of the distortion pattern.

Main Methods:

  • A signal model was developed to characterize distorted towed hydrophone arrays.
  • A high-order time-delay difference estimation algorithm utilizing time-frequency autofocus was introduced.
  • A quality metric was developed to assess the suitability of narrowband components for the estimation process.

Main Results:

  • The proposed method effectively improves underwater acoustic signal fidelity and beamforming performance.
  • Simulations and experimental results demonstrate the superiority of the developed technique over existing methods.
  • The method shows adaptability to various non-linear array configurations without needing prior distortion information.

Conclusions:

  • The presented high-order time-delay difference estimation technique offers a significant advancement in processing signals from distorted towed hydrophone arrays.
  • This distortion-agnostic approach enhances passive sonar capabilities in challenging underwater environments.
  • The method provides a practical and effective solution for improving underwater acoustic signal analysis.