<p>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.</p>

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

  • Qinghang Zeng,
  • Xiaolei Li,
  • Wei Gao

摘要

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.