DocumentCode
1164452
Title
A statistical study of acoustic signals backscattered from the sea bottom
Author
Gensane, Marc
Author_Institution
Thomson-Sintra, Arcueil, France
Volume
14
Issue
1
fYear
1989
fDate
1/1/1989 12:00:00 AM
Firstpage
84
Lastpage
93
Abstract
Backscattering measurements were performed in shallow water on sand, gravel, and clay bottoms. The equipment included a parametric array that emitted pulses of differential frequencies (8 to 40 kHz) with a 3° directivity. The ranges did not exceed 50 m. The grazing angles varied from 4° to 90°. The bottom backscattering strength does not depend on the emitted pulse type (frequency and length). If one fits a Lambert law to the variations of the backscattering strength versus the grazing angle, the value at the origin fluctuates between-15 and-22 dB without any clear effect from the different bottom types. Statistical tests show that under the experimental measurement conditions: (1) the alternative received signal does not generally follow a normal distribution; (2) among five classical distributions in sonar and radar that have been fitted to the detected-integrated signal (exponential, Weibull, chi-2, log-normal, Rice), the best-fitted law is the log-normal; (3) signals backscattered by separated areas of the same bottom can hardly be regarded as stationary and, even less, homogeneous; and (4) with an anisotropic bottom topography the statistical properties depend on the aspect under which this topography is seen
Keywords
acoustic wave scattering; backscatter; oceanography; statistical analysis; underwater sound; 50 m; 8 to 40 kHz; Lambert law; anisotropic bottom topography; backscattered acoustic signals; backscattering measurements; bottom backscattering strength; clay; directivity; gravel; grazing angles; log-normal distribution; parametric array; ranges; sand; sea bottom; shallow water; statistical properties; statistical study; Acoustic emission; Acoustic measurements; Acoustic pulses; Backscatter; Frequency; Performance evaluation; Sea measurements; Sonar detection; Surfaces; Testing;
fLanguage
English
Journal_Title
Oceanic Engineering, IEEE Journal of
Publisher
ieee
ISSN
0364-9059
Type
jour
DOI
10.1109/48.16818
Filename
16818
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