Average Likelihood Methods of Classification of Code Division Multiple Access (CDMA)

Abstract

This final report summarizes the most significant findings under the in-house effort titled Average Likelihood For CDMA.The effort included refinements to the proposed average likelihood method discussed in AFRL-RI-RS-TR-2014-09-093.The refinements include a Taylors approximation of the log-likelihood function the development of algorithms to extract features, the inclusion of unbalanced CDMA cases and the extension of the average likelihood to complex cases of CDMA. The performance of the classifier is validated by the use of accuracy versus SNR curves. Classification of CDMA under a hypothesis expressed in terms of code length and active number of user is feasible by performing a simple preprocessing stage at the beginning of the classifier.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2016
Accession Number
AD1009582

Entities

People

  • Alfredo V. Irizarry

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Code Division Multiple Access
  • Communication Systems
  • Computational Science
  • Computer Science
  • Data Science
  • Feature Extraction
  • Information Science
  • Machine Learning
  • Multiple Access
  • Network Science
  • Neural Networks
  • Random Variables
  • Signal Processing

Readers

  • Computer Vision.
  • Radio communications and signal processing.
  • Statistical inference.