Data driven source localization using a library of nearby shipping sources of opportunity.

Journal: JASA express letters
PMID: 36154381

Abstract

A library of broadband (100-1000 Hz) channel impulse responses (CIRs) estimated between a short bottom-mounted vertical line array (VLA) in the Santa Barbara channel and selected locations along the tracks of 27 isolated transiting ships, cumulated over nine days, is constructed using the ray-based blind deconvolution algorithm. Treating this CIR library either as data-derived replica for broadband matched-field processing (MFP) or training data for machine learning yields comparable ranging accuracy (∼50 m) for nearby vessels up to 3.2 km for both methods. Using model-based replica of the direct path only computed for an average sound-speed profile comparatively yields∼110 m ranging accuracy.

Authors

  • Nicholas C Durofchalk
    Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
  • Jihui Jin
    Electrical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
  • Heriberto J Vazquez
    Scripps Institute of Oceanography, San Diego, California 92037, USA.
  • Kay L Gemba
    Department of Physics, Naval Postgraduate School, Monterey, California 93943, USA ndurofchalk3@gatech.edu, jihui@gatech.edu, hvazquezperalta@ucsd.edu, kay.gemba@nps.edu, jrom@ece.gatech.edu, karim.sabra@me.gatech.edu.
  • Justin Romberg
    Electrical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
  • Karim G Sabra
    Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.

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