Abstract
We present in this article the implementation of Chirp Scaling Algorithm for SAR systems signal processing. This algorithm takes advantage of Chirp signals properties to process the information acquired from aerial radar systems and output high resolution images of earth ground. We propose a parallel implementation of the algorithm in GPGPU (General Purpose Graphic Processing Unit) using CUDA C. Several bottlenecks and penalizations are detected and corrected within various versions of the implementation, reducing processing time.
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