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

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...

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Bibliographic Details
Published in:JASA express letters 2021-12, Vol.1 (12), p.124802-124802
Main Authors: Durofchalk, Nicholas C., Jin, Jihui, Vazquez, Heriberto J., Gemba, Kay L., Romberg, Justin, Sabra, Karim G.
Format: Article
Language:English
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Summary: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.
ISSN:2691-1191
2691-1191
DOI:10.1121/10.0009083