Thesis Defense Announcement for JR Jamora — 05/18/2021 at 10:00 AM

May 10, 2021

Candidate: JR Jamora

Degree: M.S., Electrical & Computer Engineering

Thesis Title:  Angular-Dependent Three-Dimensional Imaging Techniques in Multi-Pass Synthetic Aperture Radar

Date and time: Tuesday May 18th, 2021 at 10 am

Venue: On-line Meeting via Webex  –


Dr. Ali C. Gurbuz
Assistant Professor of Electrical and Computer Engineering
(Major Professor)

Dr. Mehmet Kurum
Assistant Professor of Electrical and Computer Engineering
(Committee Member)

Dr. John E. Ball
Associate Professor of Electrical and Computer Engineering
(Committee Member)


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.

Best Regards,