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
- Haar Wavelet Transform
- Automatic Modulation Classification
- Grey Relational Analysis
- Cyclostationary Analysis
Date of Defense 2011-04-25 Availability unrestricted 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.
Filename Size Approximate Download Time (Hours:Minutes:Seconds)
28.8 Modem 56K Modem ISDN (64 Kb) ISDN (128 Kb) Higher-speed Access Price_MJ_T_2011.pdf 890.98 Kb 00:04:07 00:02:07 00:01:51 00:00:55 00:00:04
If you have questions or technical problems, please Contact DLA.