Signal-to-Noise Ratio and Central Limit Theorem Considerations in Non-Gaussian Detection,

Abstract

A generalized signal-to-noise ratio for detectors is defined and its relationship to quality of detection is investigated. Specific attention is given to log-likelihood ratio detectors. The question is discussed as to whether a Central Limit Theorem approximation for the output of the detector gives results which are close to those of the actual detector and is illustrated with examples. Keywords: Signal detection; Non-Gaussian noise; Signal-to-noise ratio; Central limit theorem.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1985
Accession Number
ADA164842

Entities

People

  • Douglas Warren
  • John B. Thomas

Organizations

  • Princeton University

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Science
  • Convergence
  • Detection
  • Detectors
  • Electrical Engineering
  • Engineering
  • Errors
  • False Alarms
  • Gaussian Noise
  • Hypotheses
  • New York
  • Noise
  • Probability
  • Random Variables
  • Signal Detection
  • Universities
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Statistical inference.