Processing of Data from Sonar Systems. Volume 8

Abstract

Volume 8 deals with the application of distribution-free tolerance regions to pattern recognition and passive detection and tracking using surface- scattered signals. Pattern recognition is needed to identify sonar signatures as to the type of target by which they are generated. Distribution-free methods are desirable since the applicable probability distributions are frequently unknown, and it is desirable to establish some upper bound on at least the expected false-alarm probability. The recognition method developed has actually been applied to the recognition of speech waveforms since these are more easily obtainable than sonar signatures yet possess some of the same characteristics. Signals reflected from the sea surface undergo distortion which limits their detectability and usability for tracking. Two propagation geometries are analysed. The first deals with the crosscorrelation of surface-reflected and direct transmission paths, and the second with the crosscorrelation of surface- scattered signals received at two different locations. This analysis assumes that the signal generated at the target and the background noise are both gaussian random variables. Three models of the scattering mechanism are proposed and two are analysed in detail. Results are presented for low pass signal spectra and are investigated as a function of bandwidth.

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1970
Accession Number
AD0883415

Entities

People

  • Guy W. Beakley
  • John F. Mcdonald

Organizations

  • General Dynamics Electric Boat

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Acoustics
  • Artificial Intelligence
  • Automated Speech Recognition
  • Computer Programs
  • Computers
  • Data Science
  • Detection
  • Information Processing
  • Information Science
  • Machine Learning
  • Random Variables
  • Self Organizing Systems
  • Signal Processing
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference