Title page for ETD etd-05032011-103859

Type of Document Master's Thesis
Author Price, Matthew
URN etd-05032011-103859
Title Automatic Modulation Classification Using Grey Relational Analysis
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Reed, Jeffrey Hugh Committee Chair
Amanna, Ashwin E. Committee Member
Bose, Tamal Committee Member
  • Cumulants
  • Haar Wavelet Transform
  • Automatic Modulation Classification
  • Grey Relational Analysis
  • Cyclostationary Analysis
Date of Defense 2011-04-25
Availability unrestricted
One component of wireless communications of increasing necessity in both civilian and military applications is the process of automatic modulation classification. Modulation of a

detected signal of unknown origin requiring interpretation must first be determined before

the signal can be demodulated. This thesis presents a novel architecture for a modulation

classifier that determines the most likely modulation using Grey Relational Analysis with the

extraction and combination of multiple signal features. An evaluation of data preprocessing

methods is conducted and performance of the classifier is investigated with the addition of

each new signal feature used for classification.

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