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ABOUT

ABOUT

Our research is dedicated to the physical understanding of acoustical phenomena in the ocean and its applications. We cover major issues in ocean acoustics including acoustic propagation/scattering modeling and underwater signal processing : 

- Ocean Sound Propagation/Scattering and Reverberation Modeling

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- Ocean Sediment Acoustics

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- Underwater Signal Processing

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- Machine learning Applications

 

- Sonar Applications for AUV

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- Ship Noise

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- Sound on Offshore Structures

We have achieved remarkable results on the aforementioned subjects. For example, we expanded acoustic models to treat irregular surface waves including ocean surface wave, which are used for explaining abnormalities in acoustic measurement data from ocean experiment. We also developed the signal processing tools for analyzing ship propeller cavitation noises and extracting ocean parameters including sound speed profile and bottom properties, respectively.

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Recently, we are focusing on the advanced signal processing using compressive sensing and structural health monitoring on offshore structures using ambient noise.

Sound Propagation/ Scattering and Reverberation Modeling

  • Range dependent propagation modeling using the parabolic equation(SNUPE)

  • Pseudo-spectral time-domain(PSTD) propagation modeling

  • Wave propagation modeling with irregular moving surface

  • Time-domain reverberation modeling with ray/coupled mode theory

  • Ocean surface scattering with PSTD method

  • Target scattering modeling

Ocean Sediment Acoustics

  • Sound propagation in the porous medium considering grain size distribution

  • Shallow water acoustics including the ocean sediment

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Underwater Signal Processing

  • Matched field inversion for extracting ocean parameters

  • Compressive sensing for estimating direction of  arrivals, target position and channel impulse response

Machine learning Applications

  • Structural health monitoring using ambient noise

(Damage detection using the support vector machine(SVM))

  • Inter-floor noise

(Source type classification/source localization)

Sonar Applications for AUV

  • Obstacle avoidance system using active sonar(SNUUV1)

  • Concurrent mapping using SLAM

(Simultaneous Localization And Mapping)

  • Localization using SAS(Synthetic Aperture Sonar)

Ship Noise

  • Extrapolation of model test results to prototype power spectrum

  • Derivation of the scaling law for broad-band noise generated by propeller tip vortex cavitation

  • Propeller noise source localization and hull pressure estimation using matched field processing

  • 3D localization of internal noise souce based on Doppler shift

Sound on Offshore Structures

  • Propagation modeling of Underwater piling noise

  • Structural health monitoring of off shore structures using ambient noise

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