Range-dependent shallow water sound source localization via digital twin model incorporating spectral element...

Area of Science:

• Acoustics
• Oceanography
• Computational Physics

Background:

• Sound source localization in complex shallow waters is difficult due to environmental variability.
• Classical models fail to capture irregular seabed and sound speed profiles.
• Full-wave simulations are accurate but computationally expensive for real-time localization.

Purpose of the Study:

• To develop an efficient method for accurate sound source localization in complex underwater environments.
• To integrate full-wave simulations into a digital twin model for rapid acoustic field prediction.
• To enable real-time localization despite environmental complexities.

Main Methods:

• Utilized spectral element method (SEM) for full-wave numerical simulations of acoustic propagation.
• Employed the Kriging method to construct an acoustic digital twin from simulation data.
• Applied matched-field processing (MFP) to match hydrophone array measurements with the digital twin's output.

Main Results:

• The acoustic digital twin model accurately predicts sound fields for source localization.
• The proposed method achieves rapid and low-cost real-time localization.
• Numerical experiments confirm the effectiveness in complex marine scenarios.

Conclusions:

• The acoustic digital twin approach provides an efficient solution for sound source localization.
• This method overcomes the computational limitations of traditional full-wave simulations.
• It offers a viable tool for real-time acoustic monitoring in challenging underwater environments.