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Ambiguity-Based Classification of Phase Modulated Waveforms

Buchenroth, Anthony
http://rave.ohiolink.edu/etdc/view?acc_num=wright1453302765

Abstract Details

2015, Master of Science in Electrical Engineering (MSEE), Wright State University, Electrical Engineering.
Accurate classification or recognition of phase modulated radar waveforms, typically accomplished via the combination of pulse parameter estimates and matched filtering, poses a simple problem in ideal conditions. Recognition of these waveforms aids in various spectrum management, surveillance, and electronic warfare (EW) applications. In less than ideal conditions, carrier frequency, time offset, pulse amplitude, initial phase, and bandwidth are unknown to the EW receiver rendering the application of a matched filter futile. This effort investigates the use of features extracted from the ambiguity function of an intercepted pulse. Specifically, this effort will expand upon the methodology of previous work done which uses the autocorrelation as a basis for extracting features. To test the efficacy of this work, extensive Monte Carlo testing employed. Simulation results prove that the methodology implemented herein achieves an overall correct classification rate of about 90% at a signal-to-noise ratio (SNR) of -2 dB on data similar to the training data.
Brian Rigling, Ph.D. (Advisor)
Fred Garber, Ph.D. (Committee Member)
Vasu Chakravarthy, Ph.D. (Committee Member)
61 p.
Electrical Engineering
electrical engineering

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Citations

  • Buchenroth, A. (2015). Ambiguity-Based Classification of Phase Modulated Waveforms [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1453302765

    APA Style (7th edition)

  • Buchenroth, Anthony. Ambiguity-Based Classification of Phase Modulated Waveforms. 2015. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1453302765.

    MLA Style (8th edition)

  • Buchenroth, Anthony. "Ambiguity-Based Classification of Phase Modulated Waveforms." Master's thesis, Wright State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1453302765

    Chicago Manual of Style (17th edition)

wright1453302765
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© 2015, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.