| 一种基于GPU 的SAR 高效成像处理算法 |
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| 引用本文： | 孟大地,胡玉新,丁赤飚.一种基于GPU 的SAR 高效成像处理算法[J].雷达学报,2013,2(2):210-217. |
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| 作者姓名： | 孟大地 胡玉新 丁赤飚 |
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| 作者单位： | 1.(中国科学院电子学研究所 北京 100190)2.(中国科学院空间信息处理与应用系统技术重点实验室 北京 100190) |
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| 基金项目： | 国家大科学工程航空遥感系统地面数据处理与管理分系统项目资助课题 |
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| 摘 要： | 合成孔径雷达(SAR)成像处理是一项需要进行大量计算的处理任务。图形处理器(GPU)具有数十倍于CPU的浮点计算能力以及传输带宽，而CUDA 技术的发展使得GPU 能够方便地进行通用计算。该文提出了一种在GPU上进行SAR 成像的高效方法。与一般GPU 处理方法相比，该方法使得处理过程中的CPU-GPU 往返数据传输由4 次减少到1 次，而且同时利用了工作站上的CPU 与GPU 计算资源。实验结果表明，该方法能够带来相对一般GPU 处理方法2.3 倍的处理效率提升，从而验证了该方法的有效性。
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| 关 键 词： | SAR CUDA GPU SAR成像处理 |
| 收稿时间： | 2012-12-17 |
An Efficient Algorithm to Processing SAR Data on GPU |
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| Meng Da-di,Hu Yu-xin,Ding Chi-biao.An Efficient Algorithm to Processing SAR Data on GPU[J].Journal of Radars,2013,2(2):210-217. |
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| Authors: | Meng Da-di Hu Yu-xin Ding Chi-biao |
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| Affiliation: | 1.(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)2.(Key Laboratory of Technology in Geospatial Information Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China) |
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| Abstract: | Data processing is a time-consuming matter in the field of Synthetic Aperture Radar (SAR). In other ways, Graphic Processing Unit (GPU) have tremendous float-point computational horsepower and very high memory bandwidth, and the developing Compute Unified Device Architecture (CUDA) technology has enabled the GPU to be applied to the general purpose parallel computing. A new method of processing SAR data on GPU is presented in this paper. Compared with the nominal GPU based SAR processing method, number of data transfers between CPU/GPU are reduced from 4 to 1, and CPUs are exploited to cooperate with GPU synchronously. By the proposed method, data Processing is speeded up by 2.3 times, which is verified by the testing on the simulated SAR data. |
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