| Type of Document |
Master's Thesis |
| Author |
Malady, Amy Colleen
|
| URN |
etd-05062011-111048 |
| Title |
Cyclostationarity Feature-Based Detection and Classification |
| Degree |
Master of Science |
| Department |
Electrical and Computer Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Beex, A. A. Louis |
Committee Chair |
| Bose, Tamal |
Committee Member |
| Meehan, Kathleen |
Committee Member |
|
| Keywords |
- robust estimation
- continuous phase modulation
- cyclostationarity
- detection
- automatic modulation classification
|
| Date of Defense |
2011-04-22 |
| Availability |
unrestricted |
Abstract
Cyclostationarity feature-based (C-FB) detection and classification is a large field of research that has promising applications to intelligent receiver design. Cyclostationarity FB classification and detection algorithms have been applied to a breadth of wireless communication signals – analog and digital alike. This thesis reports on an investigation of existing methods of extracting cyclostationarity features and then presents a novel robust solution that reduces SNR requirements, removes the pre-processing task of estimating occupied signal bandwidth, and can achieve classification rates comparable to those achieved by the traditional method while based on only 1/10 of the observation time. Additionally, this thesis documents the development of a novel low order consideration of the cyclostationarity present in Continuous Phase Modulation (CPM) signals, which is more practical than using higher order cyclostationarity.
Results are presented – through MATLAB simulation – that demonstrate the improvements enjoyed by FB classifiers and detectors when using robust methods of estimating cyclostationarity. Additionally, a MATLAB simulation of a CPM C-FB detector confirms that low order C-FB detection of CPM signals is possible. Finally, suggestions for further research and contribution are made at the conclusion of the thesis.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
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Malady_AmyC_T_2011.pdf |
988.57 Kb |
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