Automatic Modulation Classification Using Grey Relational Analysis
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....
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| Format: | Others |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/42441 http://scholar.lib.vt.edu/theses/available/etd-05032011-103859/ |
| Summary: | 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. === Master of Science |
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