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

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