Publication Date
2015
Document Type
Thesis
Committee Members
Vasu Chakravarthy (Committee Member), Fred Garber (Committee Member), Brian Rigling (Advisor)
Degree Name
Master of Science in Electrical Engineering (MSEE)
Abstract
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.
Page Count
61
Department or Program
Department of Electrical Engineering
Year Degree Awarded
2015
Copyright
Copyright 2015, all rights reserved. My ETD will be available under the "Fair Use" terms of copyright law.
