Development of the Average Likelihood Function for Code Division Multiple Access (CDMA) Using BPSK and QPSK Symbols

Abstract

This interim report summarizes the most relevant findings during the first year of research on the effort titled Average Likelihood Methods for Classification of CDMA. The goal of the research is to present the development of several analytical form of the average likelihood for CDMA using combinations of BPSK and QPSK symbols. In a previous report, the case of CDMA using a BPSK code matrix and a BPSK data vector was studied and published in Technical Report AFRL-RI-RS-TR-2014-093. In this report, the average likelihood for different CDMA transmission models will be developed using similar definitions and propositions. Decision theoretic methods based on average likelihood are the only methods that guarantee the best classification in noise according to the classical Detection Theory. Currently there is a lack of average likelihood methods for CDMA. This research has the purpose to establish a foundation for new classification and estimation of CDMA signals.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA619004

Entities

People

  • Alfredo V. Irizarry

Organizations

  • Rome Laboratory

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Code Division Multiple Access
  • Complex Variables
  • Correlators
  • Detection
  • Gaussian Distributions
  • Government Procurement
  • Governments
  • Information Operations
  • Information Science
  • Machine Learning
  • Military Research
  • Multiple Access
  • Neural Networks
  • Probability

Fields of Study

  • Engineering

Readers

  • Radio communications and signal processing.
  • Technical Research and Report Writing.
  • Theoretical Analysis.