Passive inversion of sound speed profile based on normal mode extraction of monochromatic signals

Abstract

Sound speed is an important parameter in underwater acoustics, and the inversion of sound speed profiles (SSPs) has been a focus of numerous studies. In this paper, we propose a mode extraction-based SSP inversion (ME-SSPI) method. This method utilizes the relationship between SSP, mode parameters, and source velocity to simultaneously estimate SSP and source velocity from a monochromatic signal. Mode parameters (e.g., modal depth functions and horizontal wavenumbers) are extracted using acoustic data received by a vertical linear array. SSP estimation results are further optimized by a denoising autoencoder network. The effectiveness of the ME-SSPI method is verified by simulations.

Keywords

Acoustic inversion / Sound speed profile / Normal mode theory / Neural network

References

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Funding

National Natural Science Foundation of China(12474444)

Open Research Fund of Hanjiang National Laboratory(KF2024041)

RIGHTS & PERMISSIONS

The Author(s)