Statistical Characterization and Classification of Fish School Clutter

Abstract

The goal of this study is To significantly reduce the probability of false alarm in Navy active sonar systems. This goal will be achieved through developing signal processing algorithms for active sonar systems which can account for the non-Rayleigh nature of clutter from fish schools. Part of this goal will involve characterizing the performance of the algorithm. The objectives are to develop and apply probability density functions (PDF's) to describe non-Rayleigh echoes from patchy clutter for eventual use in classifiers. The general methods are applied principally to clutter from aggregations of fish.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 03, 2011
Accession Number
ADA551803

Entities

People

  • Dezhang Chu
  • Timothy K. Stanton

Organizations

  • Woods Hole Oceanographic Institution

Tags

DTIC Thesaurus Topics

  • Acoustic Measurement
  • Active Sonar
  • Algorithms
  • Classification
  • Data Sets
  • False Alarms
  • Frequency
  • Frequency Bands
  • Physics
  • Probability
  • Probability Density Functions
  • Random Variables
  • Scattering
  • Signal Processing
  • Sonar
  • Statistics
  • Three Dimensional

Readers

  • Acoustical Oceanography.