GPGPU Accelerated Fast Convolution Back-Projection for Radar Image Reconstruction  

作　　者：周斌 彭应宁 叶春茂 汤俊 

机构地区：[1]Department of Electronic Engineering,Tsinghua University

出　　处：《Tsinghua Science and Technology》2011年第3期256-263,共8页清华大学学报（自然科学版（英文版）

摘　　要：This paper describes a parallel fast convolution back-projection algorithm design for radar image reconstruction. State-of-the-art general purpose graphic processing units （GPGPU） were utilized to accelerate the processing. The implementation achieves much better performance than conventional processing systems, with a speedup of more than 890 times on NVIDIA Tesla C1060 supercomputing cards compared to an Intel P4 2.4 GHz CPU. 256×256 pixel images could be reconstructed within 6.3 s, which makes real-time imaging possible. Six platforms were tested and compared. The results show that the GPGPU super-computing system has great potential for radar image processing.This paper describes a parallel fast convolution back-projection algorithm design for radar image reconstruction. State-of-the-art general purpose graphic processing units （GPGPU） were utilized to accelerate the processing. The implementation achieves much better performance than conventional processing systems, with a speedup of more than 890 times on NVIDIA Tesla C1060 supercomputing cards compared to an Intel P4 2.4 GHz CPU. 256×256 pixel images could be reconstructed within 6.3 s, which makes real-time imaging possible. Six platforms were tested and compared. The results show that the GPGPU super-computing system has great potential for radar image processing.

关 键 词：convolution back projection （CBP） synthetic aperture radar （SAR） inverse synthetic aperture radar （ISAR） general purpose graphic processing units （GPGPU） 

分 类 号：TN957.52[电子电信—信号与信息处理]