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Related Experiment Video

Updated: Jul 11, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

Underwater soundfield visualisation using directionally constrained acoustic parameters.

Vasileios Bountourakis¹, Ville Pulkki¹

¹Department of Information and Communications Engineering, Aalto University, Espoo, 02150, Finland.

The Journal of the Acoustical Society of America

|November 17, 2023

Summary

This summary is machine-generated.

This study introduces a new underwater soundfield visualization method for passive sonar using circular hydrophone arrays. The technique enhances noise suppression and direction-of-arrival accuracy, improving sonar performance.

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Area of Science:

Acoustics
Signal Processing
Ocean Engineering

Background:

Passive sonar systems rely on hydrophone arrays to detect and localize underwater acoustic sources.
Accurate soundfield visualization is crucial for identifying targets and understanding the acoustic environment.
Existing methods face challenges in noise suppression and angular resolution, particularly in complex scenarios.

Purpose of the Study:

To develop and evaluate an improved underwater soundfield visualization method for passive sonar applications.
To enhance the performance of circular hydrophone arrays in terms of noise suppression, angular resolution, and direction-of-arrival estimation.
To assess the method's effectiveness in the presence of interferers and its potential as a confidence measure.

Main Methods:

A novel method segregates space into angular sectors using beamforming.
Acoustic parameters are computed within each sector and fused to create spatial spectra.
The technique employs directionally constrained parameters and sector-based parameter diffuseness.
Evaluation is performed on simulated data from circular hydrophone arrays.

Main Results:

The proposed method demonstrates improved background noise suppression and angular resolution compared to baseline methods.
It achieves higher direction-of-arrival estimation accuracy at moderate to high signal-to-noise ratios.
The method shows superior performance against interferers, even at low signal-to-interference ratios, with appropriate sector patterns.
Sector-based parameter diffuseness serves as an effective weighting function and confidence measure.

Conclusions:

The developed underwater soundfield visualization method offers significant performance improvements for passive sonar applications.
It provides enhanced capabilities for noise suppression, target localization, and environmental acoustic analysis.
The method's adaptability and confidence measure potential make it a valuable advancement in sonar technology.