Experimental demonstration of low signal-to-noise ratio matched field processing with a geoacoustic model extracted from noise

Abstract

Passive localization of a low signal-to-noise ratio (SNR) source in a shallow water waveguide without prior geoacoustic information is accomplished by combining the mode-extraction method modal-MUSIC (multiple signal classification) with range-coherent matched field processing (MFP). Range-coherent MFP coherently combines snapshots from different resolution cells to obtain gain over noise. Modal-MUSIC uses knowledge of the water column sound speed profile (no bottom information) to extract noisy estimates of modal wavenumbers from ship noise recorded on a partially spanning vertical line array (VLA). A geoacoustic model is then fit to the wavenumber estimates extracted from noise with modal-MUSIC and used to compute replicas for range-coherent MFP. The combination of these two methods applied to a 21-element VLA achieves successful source localization at SNR levels as low as −20 dB using ten tonals transmitted during the SWellEx96 experiment.

Document Details

Document Type
Pub Defense Publication
Publication Date
May 01, 2023
Source ID
10.1121/10.0019377

Entities

People

  • Franklin H. Akins
  • W. A. Kuperman

Organizations

  • Office of Naval Research
  • University of California

Tags

Fields of Study

  • Engineering
  • Physics

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.