Theses and Dissertations - UTB/UTPA
Date of Award
Master of Science (MS)
Dr. Zhijun Qiao
Dr. Andras Balogh
Dr. Zhaoshang Feng
A general synthetic aperture radar (SAR) signal model is derived from the Maxwell’s equations, and compressed sensing are introduced to the signal model for SAR image reconstruction. Random Partial Fourier Matrices were applied to prove that compressed sensing can be used to this signal model from the viewpoint of mathematics. In the numerical simulation part, we show that the procedure of basis pursuit can reconstruct SAR image, based on our main results, which is shown efficient in comparison with the matched filter algorithm.
University of Texas-Pan American
Copyright 2013 Yufeng Cao. All Rights Reserved.