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The Effect of Attenuation from Fish on Passive Detection of Sound Sources in Ocean Waveguide Environments

Authors :
Duane, Daniel
Zhu, Chenyang
Piavsky, Felix
Godø, Olav Rune
Makris, Nicholas C.
Duane, Daniel
Zhu, Chenyang
Piavsky, Felix
Godø, Olav Rune
Makris, Nicholas C.
Source :
Multidisciplinary Digital Publishing Institute
Publication Year :
2021

Abstract

Attenuation from fish can reduce the intensity of acoustic signals and significantly decrease detection range for long-range passive sensing of manmade vehicles, geophysical phenomena, and vocalizing marine life. The effect of attenuation from herring shoals on the Passive Ocean Acoustic Waveguide Remote Sensing (POAWRS) of surface vessels is investigated here, where concurrent wide-area active Ocean Acoustic Waveguide Remote Sensing (OAWRS) is used to confirm that herring shoals occluding the propagation path are responsible for measured reductions in ship radiated sound and corresponding detection losses. Reductions in the intensity of ship-radiated sound are predicted using a formulation for acoustic attenuation through inhomogeneities in an ocean waveguide that has been previously shown to be consistent with experimental measurements of attenuation from fish in active OAWRS transmissions. The predictions of the waveguide attenuation formulation are in agreement with measured reductions from attenuation, where the position, size, and population density of the fish groups are characterized using OAWRS imagery as well as in situ echosounder measurements of the specific shoals occluding the propagation path. Experimental measurements of attenuation presented here confirm previous theoretical predictions that common heuristic formulations employing free space scattering assumptions can be in significant error. Waveguide scattering and propagation theory is found to be necessary for accurate predictions.

Details

Database :
OAIster
Journal :
Multidisciplinary Digital Publishing Institute
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1286399221
Document Type :
Electronic Resource