Computer-Aided Detection Study.

Abstract

A nominally one-year program to study single ping clustering techniques for advanced sonars is complete. Sonar data, recorded at sea, have been processed on a digital computer and the results studied to deduce both a model of the processor output and features of the data that might be useful as discriminants between noise and target output signals. Statistics of the output of the linear correlator have been collected for various intervals for about 200 pings, both bottom bounce and surface duct. Plots of the standard deviation versus the mean and of the standardized forms of the third and fourth moments show extremely high correlation for nontarget intervals for both modes and for various days. The Rayleigh model is not a suitable description of the statistics of many of the output intervals. The statistics of these intervals appear to vary as much from one interval to the next in one return as they vary from ping to ping. An energy detector has been simulated and its output plots have been studied studied in an attempt to establish the source of the reverberation as a function of time. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1966
Accession Number
ADA031506

Entities

Organizations

  • General Electric

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Bottom Bounce
  • Computational Science
  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Detection
  • Detectors
  • Information Processing
  • Information Science
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys
  • Three Dimensional

Readers

  • Acoustical Oceanography.
  • Mathematics or Statistics
  • Phased Array Antenna Design.