Theses and Dissertations

Date of Award

7-2016

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematics

First Advisor

Dr. Zhijun Qiao

Second Advisor

Dr. Zhaosheng Feng

Third Advisor

Dr. Jasang Yoon

Abstract

The field of remote sensing contains many unique and practical problems. Radar imaging, in all of its many forms, lies within this field of study. One problem is the need to acquire high-resolution images and store them on-board the system acquisition vessel . For some systems this could mean storing very high amounts of data, depending on the scene in question [3]. So a very natural goal is to store only what is absolutely necessary and nothing more. We investigate methods to compress signals into their most important components so that other parties can recover the original data completely or nearly completely. We show that certain transformations allow for minimal data acquisition and high reconstruction rate. We also show that the field of compressive sensing offers many tools highly amiable to the problems in question.

Comments

Copyright 2016 John Montalbo. All Rights Reserved.

https://www.proquest.com/dissertations-theses/compressive-sensing-radar-imaging/docview/1850204101/se-2?accountid=7119

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