Synthetic aperture radar with compressed sensing

Authors

Yufeng Cao, University of Texas-Pan American

Date of Award

8-2013

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematics

First Advisor

Dr. Zhijun Qiao

Second Advisor

Dr. Andras Balogh

Third Advisor

Dr. Zhaoshang Feng

Abstract

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.

Comments

Copyright 2013 Yufeng Cao. All Rights Reserved.

https://www.proquest.com/dissertations-theses/synthetic-aperture-radar-with-compressed-sensing/docview/1459462149/se-2

Granting Institution

University of Texas-Pan American