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A GPU-Based Two-Step Approach for High Resolution SAR Imaging

The processing of high resolution synthetic aperture radar (SAR) data suffers from Doppler spectrum aliasing because the pulse repetition frequency (PRF) of the system is unable to cover the Doppler bandwidth of the signal. Besides, the enormous scale of high resolution SAR echo data will bring about heavy time cost on data processing under central processing unit (CPU), resulting in low processing efficiency. The graphics processing unit (GPU) can achieve massively parallel processing which is suitable for SAR data processing. This paper presents a GPU-based two-step approach for full-aperture SAR data processing to overcome spectrum aliasing problem and low efficiency of the processing procedure. Experiments on experimental SAR data are performed to verify the validity of the method.