Date of Award
Summer 2015
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Electrical & Computer Engineering
Program/Concentration
Electrical and Computer Engineering
Committee Director
Ravindra P. Joshi
Committee Member
Linda L. Vahala
Committee Member
Duc Nguyen
Call Number for Print
Special Collections LD4331.E55 S743 2015
Abstract
Automatic identification and classification of modulation schemes in communication signals and decoding of information from the captured signals has assumed great importance recently in the wireless communication industry. Advancements in communications have introduced a large variety of modulation schemes in the transmitted signals; consequently, reliable detection of the modulation scheme in the intercepted signal has become an important issue in communications. It is the aim of this thesis to address this issue of reliable detection. Therefore, this research is focused on modeling and simulation of an automatic modulation classifier and, in particular, on the development of algorithms to use higher order statistical characteristics detected in the communication signals received. This research began,:th an understanding of commonly used digital modulation schemes, such as Phase Shift Keying (PSK), Frequency Shift Keying (FSK), and Quadrature Amplitude Modulation (QAM). A basic framework for a numerical modeling and simulation of wireless communication systems was developed first to serve as a building block for the development of an automatic modulation classifier. Since signal noise plays an important role in the detection of signals received, the channel model of the wireless system was enhanced to allow signals with Additive White Gaussian Noise (AWGN) and multipath Rayleigh fading and multipath Ricean fading channels at various levels of Signal to Noise Ratios. In this study, an algorithm was developed to identify the modulation schemes used in the signals that is based on the eighth order cumulants extracted from the signals.
Rights
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DOI
10.25777/ahsq-gv30
Recommended Citation
Sreekantamurthy, Meena.
"Classification of Digital Communication Signal Modulation Schemes in Multipath Environments Using Higher Order Statistics"
(2015). Master of Science (MS), Thesis, Electrical & Computer Engineering, Old Dominion University, DOI: 10.25777/ahsq-gv30
https://digitalcommons.odu.edu/ece_etds/535
Included in
Computational Engineering Commons, Digital Communications and Networking Commons, Signal Processing Commons, Systems and Communications Commons