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 effi?cacy 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


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