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

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1994
Accession Number
ADA278155

Entities

People

  • P. D. Neumann
  • R. L. Culver

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Active Sonar
  • Backscattering
  • Data Science
  • Distribution Functions
  • False Alarms
  • Geometry
  • Information Science
  • Normal Distribution
  • Power Spectra
  • Scattering
  • Statistical Analysis
  • Statistics
  • Surface Properties
  • Surface Roughness
  • Theses
  • Transmission Loss
  • Underwater Sound

Readers

  • Acoustical Oceanography.
  • Regression Analysis.
  • Technical Research and Report Writing.