Acoustic backscatter at low grazing angle from the ocean bottom. II: Statistical characteristics of bottom backscatter at a shallow water site

1984 ◽  
Vol 75 (S1) ◽  
pp. S30-S30
Author(s):  
N. P. Chotiros ◽  
H. Boehme ◽  
T. G. Goldsberry ◽  
S. P. Pitt ◽  
R. A. Lamb ◽  
...  
Keyword(s):  
Shallow Water ◽  
Grazing Angle ◽  
Statistical Characteristics ◽  
Acoustic Backscatter ◽  
Ocean Bottom

Studies on the interaction of low‐frequency acoustic signals with the ocean bottom

Geophysics ◽  
1979 ◽  
Vol 44 (12) ◽  
pp. 1922-1940 ◽  
Author(s):  
Salvatore R. Santaniello ◽  
Frederick R. DiNapoli ◽  
Robert K. Dullea ◽  
Peter D. Herstein
Keyword(s):  
Acoustic Waves ◽  
Grazing Angle ◽  
Low Frequency ◽  
Propagation Loss ◽  
Ocean Bottom ◽  
Computer Technique ◽  
Quantitative Evidence ◽  
Ocean Sediment ◽  
Wave Models ◽  
Processing Techniques

Understanding the mechanisms by which the ocean sediment redirects impinging sound back into the ocean is necessary in developing propagation models for sonar performance prediction. The Naval Underwater Systems Center (NUSC) has (1) conducted controlled, self‐calibrating acoustic measurements where the ocean bottom interacted signal is isolated in time for analysis, (2) developed deconvolution processing techniques to aid in describing the impulse response of the ocean sediment, and (3) performed modeling to study the interaction of acoustic waves at the ocean bottom. This paper presents a synopsis of studies showing the necessity of considering the refraction of sound by the ocean sediment when predicting low‐frequency propagation loss. Constructive interference between nonplanar wave sediment refracted sound and sound reflected by the ocean‐sediment interface and subbottom layering can cause negative values of bottom loss when using plane‐wave models to interpret measured data. These models cannot account for all possible acoustic arrivals at a receiver. In addition, for a given frequency and constant ocean bottom grazing angle, bottom loss can be dependent upon both processing bandwidth and source/receiver depth. Deconvolution has aided in time resolution of signals that make up the bottom‐interacted signals. Resolution of these signals aids in interpreting results. A modeling effort utilizing the Fast Field Program (a computer technique for evaluating the field integral by the fast Fourier transform) provides quantitative evidence for the necessity of accounting for the refraction of sound by subocean sediments to interpret properly low‐frequency propagation loss measurements.

Dan Field Ocean Bottom Node (OBN) Survey - A Shallow Water Case History

2014 ◽  
Author(s):  
J. Zaske ◽  
P. Hickman ◽  
H. Roende ◽  
S. Mukund ◽  
S. Halliday ◽  
...  
Keyword(s):  
Shallow Water ◽  
Case History ◽  
Ocean Bottom

Large-Scale, Shallow-Water, Ocean-Bottom Seismic Project in Southern Gulf of Mexico

2019 ◽  
Author(s):  
M. Ortin ◽  
M. Salgadoe ◽  
F. Fenoglio ◽  
A. Raj ◽  
M. Sanchez ◽  
...  
Keyword(s):  
Gulf Of Mexico ◽  
Shallow Water ◽  
Large Scale ◽  
Ocean Bottom ◽  
Southern Gulf Of Mexico

Small-slope simulation of acoustic backscatter from a physical model of an elastic ocean bottom

2007 ◽  
Vol 122 (5) ◽  
pp. 2551 ◽  
Author(s):  
Raymond J. Soukup ◽  
Gaetano Canepa ◽  
Harry J. Simpson ◽  
Jason E. Summers ◽  
Robert F. Gragg
Keyword(s):  
Physical Model ◽  
Acoustic Backscatter ◽  
Ocean Bottom

Signal and noise in a shallow-water ocean-bottom cable survey

2015 ◽  
Author(s):  
David F. Halliday ◽  
Robert Laws ◽  
Mikael Garden
Keyword(s):  
Shallow Water ◽  
Ocean Bottom
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