Publication Date
2014
Document Type
Thesis
Committee Members
Jason Deibel (Committee Member), Brian Rigling (Committee Member), Michael Saville (Advisor)
Degree Name
Master of Science in Engineering (MSEgr)
Abstract
Recent work with the spectrum-parted linked image test (SPLIT) uses polarization with Fourier-based peak detection to qualify pixels for attributed scattering center (ASC) extraction from synthetic aperture radar (SAR) phase history data. SPLIT is a two-stage, non-linear technique to extract ASCs. The first stage qualifies pixels for ASC attribution, but suffers from imaging sidelobe energy. Error in pixel qualification propagates to stage two: pixel attribution. In this work, a new ASC extraction method is proposed. It is based on 2-D Prony method and motivated by SPLIT. Position estimation performance of SPLITs local peak detection is compared to the 2-D Prony method. 2D-Prony achieves up to 70 percent accuracy at 20dB signal-to-noise while local peak detection achieves up to 20 percent correct pixel qualification. In addition, correct pixel attribution for primitive shapes is shown to achieve 80 percent using 2-D Prony method and up to 98 percent using local peak detection. Although seemingly contradictory results, physical reasoning may explain the lower correct qualification rate with a higher attribution rate. Lastly, we present measurement methodology for complimenting the modeling and simulation methods.
Page Count
126
Department or Program
Department of Electrical Engineering
Year Degree Awarded
2014
Copyright
Copyright 2014, some rights reserved. My ETD may be copied and distributed only for non-commercial purposes and may not be modified. All use must give me credit as the original author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
