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Multi-User Signal Classification Via Cyclic Spectral Analysis

Guenther, Brent Edward
http://rave.ohiolink.edu/etdc/view?acc_num=wright1288490195

Abstract Details

2010, Master of Science in Engineering (MSEgr), Wright State University, Electrical Engineering.
This research develops and evaluates several different methods for multi-user signal classification via cyclic spectral analysis. The first method uses the spectral correlation function (SCF) through temporal smoothing with the use of higher order cyclic statistics (HOCS) to allow for modulation classification. The second method uses the cyclic temporal cumulant function (CTCF) and the spectral coherence function (SOF) through frequency smoothing. Using a feature-based pattern recognition technique with the SOF can not only determine the number of signals present in the received signal, but can also give signal parameter estimation and group classification performance. The last method conducts further modulation classification by using second and fourth order Cyclic Cumulants. Cyclostationary processing is the foundation of this research and requires no a priori information about the incoming signal parameters; including but not limited to symbol rate, carrier frequency and phase offset. Monte Carlo simulations completed in MATLAB and performance results are given for all aforementioned methods.
Zhiqiang Wu, PhD (Advisor)
Yao Ma, PhD (Committee Member)
Vasu Chakravarthy, PhD (Committee Member)
81 p.
Electrical Engineering; Engineering
Multi-User Dection; Cyclostationary Processing; Cyclic Spectral Analysis; SCF; SOF

Recommended Citations

Citations

  • Guenther, B. E. (2010). Multi-User Signal Classification Via Cyclic Spectral Analysis [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1288490195

    APA Style (7th edition)

  • Guenther, Brent. Multi-User Signal Classification Via Cyclic Spectral Analysis. 2010. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1288490195.

    MLA Style (8th edition)

  • Guenther, Brent. "Multi-User Signal Classification Via Cyclic Spectral Analysis." Master's thesis, Wright State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1288490195

    Chicago Manual of Style (17th edition)

wright1288490195
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© 2010, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.