Analysis of Decision Theoretic Modulation Classification Methods for Digital Communication Signals

Abstract

Automated modulation classification is a fundamental requirement for electronic support measures. Existing automated classifiers use a variety of different modulation recognition techniques. This paper reviews the category of decision-theoretic approaches and discusses the relationships between decision-theoretic methods and other statistical modulation classification methods.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA432416

Entities

People

  • John A. Kosinski
  • Wei Su

Organizations

  • United States Army Communications-Electronics Command

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Data Science
  • Digital Communications
  • Dimensionality Reduction
  • Frequency
  • Histograms
  • Information Operations
  • Information Science
  • Information Warfare
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Random Variables
  • Recognition
  • Signal Processing
  • Surveys

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Electronics Engineering

Technology Areas

  • Microelectronics