Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Ali Gurbuz

Committee Member

Mehmet Kurum

Committee Member

John E. Ball

Date of Degree

8-6-2021

Original embargo terms

Complete embargo for 1 year

Document Type

Graduate Thesis - Open Access

Major

Electrical and Computer Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

Humans perceive the world in three dimensions, but many sensing capabilities only display two-dimensional information to users by way of images. In this work we develop two novel reconstruction techniques utilizing synthetic aperture radar (SAR) data in three dimensions given sparse amounts of available data. We additionally leverage a hybrid joint-sparsity and sparsity approach to remove a-priori influences on the environment and instead explore general imaging properties in our reconstructions. We evaluate the required sampling rates for our techniques and a thorough analysis of the accuracy of our methods. The results presented in this thesis suggest a solution to sparse three-dimensional object reconstruction that effectively uses a substantially less amount of phase history data (PHD) while still extracting critical features off an object of interest.

Sponsorship

Air Force Research Laboratory (through Autonomy Technology Research Center), ERDC

Available for download on Monday, August 15, 2022

Share

COinS