Efficient digital spotlighting phase history re-centering hardware implementation
Date of Award
2016
Degree Name
M.S. in Electrical Engineering
Department
Department of Electrical and Computer Engineering
Advisor/Chair
Advisor: Eric John Balster
Abstract
This thesis focuses on the study of the SAR algorithm digital spotlighting and the hardware implementation of the phase history re-centering portion of the algorithm. The phase history re-centering portion of the digital spotlighting algorithm re-centers the phase history data with respect to the new scene center. This thesis provides a solution that allows for a single precision implementation of the phase history re-centering in hardware that provides comparable results to that of a double precision implementation. In order to attain a higher order of precision the frequency sample values were scaled. Scaling the frequency samples allows the use of single precision floating point data types while maintaining on average 8 decimal places of precision when compared to a double precision floating point data type implementation. By using single precision floating point data types a resource reduction of 46% can be achieved when compared to a double precision floating point data types. The hardware implementation of the phase history re-centering core provides a possible 36X speed up when compared to the MATLAB implementation. Leveraging this design would be a major step towards implementing the entire digital spotlighting algorithm on a low SWAP(Size Weight and Power) system. This low SWAP system may include platforms such as UAV's or any other SWAP constrained system.
Keywords
Synthetic aperture radar, Signal processing, Engineering, Electrical Engineering, Synthetic Aperture Radar, Digital Spotlighting, DSP Builder, Radar Signal Processing
Rights Statement
Copyright © 2016, author
Recommended Citation
Christman, Jordan L., "Efficient digital spotlighting phase history re-centering hardware implementation" (2016). Graduate Theses and Dissertations. 1204.
https://ecommons.udayton.edu/graduate_theses/1204