High Performance Parallel Implementation of Compressive Sensing SAR Imaging
School of Electronic and Information Engineering, Beihang University, Beijing, China
Progress In Electromagnetics Research Symposium Proceedings, 2012
@article{tian2012high,
title={High Performance Parallel Implementation of Compressive Sensing SAR Imaging},
author={Tian, J. and Sun, J. and Zhang, Y. and Ahmad, N.},
year={2012}
}
The compressive sensing (CS) theory has been applied to SAR imaging systems in many ways. And it shows a significant reduction in the amount of sampling data at the cost of much longer reconstruction time. In this paper, we investigate the development and optimization of Iterative Shrinkage/Thresholding (IST) algorithm applying to CS reconstruction of SAR images on two parallel architectures, standard vectorized multi-core processors (e.g., quad-core CPUs) and graphics processing units (GPUs). Meanwhile, we modify the IST algorithm according to the characteristic of SAR images to obtain a faster recovery speed. The experiment results show that CS reconstruction of SAR images on parallel architecture has a significant speedup in comparison with implemented on conventional serial architectures.
September 7, 2012 by hgpu
