The Research on Parallel Optimization of SAR Imaging R-D Algorithm Based on CUDA

Abstract

Synthetic Aperture Radar (SAR) imaging technology is widely used in the field of remote sensing observation, navigation positioning and so on, SAR imaging is large in data scale and long in operating time. Based on the Compute Unified Device Architecture (CUDA) programming model, the SAR imaging R-D algorithm is designed and implemented for parallel optimization on the CPU-GPU heterogeneous platform and tested on the GPU Tesla K20. The test shows that the efficiency of the core steps of R-D algorithm has been greatly improved.