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
Recommended Citation
Jamora, Jan Rainer, "Angular-dependent three-dimensional imaging techniques in multi-pass synthetic aperture radar" (2021). Theses and Dissertations. 5220.
https://scholarsjunction.msstate.edu/td/5220