Date of Award
Master of Science in Electrical Engineering
Department of Electrical and Computer Engineering
Stephen C. Cain, PhD
As the reliance on satellite data for military and commercial use increases, more effort must be exerted to protect our space-based assets. In order to help increase our space domain awareness (SDA), new approaches to ground-based space surveillance via wavefront sensing must be adopted. Improving phase-unwrapping algorithms in order to assist in phase retrieval methods is one way of increasing the performance in current adaptive optics (AO) systems. This thesis proposes a new phase-unwrapping algorithm that uses a global, gradient-based technique to more rapidly identify and correct for areas of phase wrapping during particular phase retrieval methods. This is beneficial in regard to the speed and accuracy within which a wrapped phase estimate is unwrapped using a new algorithm, and doing so without having to change current AO systems or physical setups.
Bartelt, Bryan R., "Global Gradient-Based Phase Unwrapping Algorithm for Increased Performance in Wavefront Sensing" (2020). Theses and Dissertations. 4328.