Statistical Characteristics of Bistatic Surface Scatter and Mean Bistatic Surface Scattering Strengths

The characterization of reverberation, from the surface, the bottom, and/or the volume, is important in advancing the understanding of the mechanisms involved in underwater sound scattering. Numerous experiments and much theoretical work have been done in the area of monostatic reverberation, but th...

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Bibliographic Details
Main Authors: Neumann, P D, Culver, R L
Format: Report
Language:English
Subjects:
ACOUSTIC SCATTERING
Acoustics
Bistatic reverberation
DATA ACQUISITION
Kolmogorov Smirnov test
MATHEMATICAL MODELS
MATHEMATICAL PREDICTION
NORMAL DISTRIBUTION
OCEAN BOTTOM
OCEAN SURFACE
STATISTICAL TESTS
Surface scattering
Underwater reverberation
UNDERWATER SOUND
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Summary:The characterization of reverberation, from the surface, the bottom, and/or the volume, is important in advancing the understanding of the mechanisms involved in underwater sound scattering. Numerous experiments and much theoretical work have been done in the area of monostatic reverberation, but the area of bistatic reverberation has been much less researched. This certainly is a result of the much more complex geometries involved in bistatic reverberation. This dissertation studied the statistics of bistatic surface reverberation data from the FLIP experiment conducted in January of 1992. The data were verified as homogeneous and normally distributed using the Kolmogorov-Smirnov two-sample test with a confidence interval, et, equal to 0.1. using a technique by which ensembles from different times were combined, meaningful deviations from a normal distribution were observed at the highest wind speed of 7.2 m/s.