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 Keywords
- Grey Relational Analysis
- Automatic Modulation Classification
- Haar Wavelet Transform
- Cyclostationary Analysis
Date of Defense 2011-04-25 Availability restricted AbstractOne 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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