摘要
针对SAR地面系统实时关键成像技术进行研究,采用GPU(Graphic Processing Unit)硬件平台CUDA(Computer Uniformed Device Architecture)编程模型,对传统合成孔径雷达的RDA(Range Doppler Algorithm)算法核心部分进行了针对性的设计与实现,并在GPU专用科学计算平台Tesla C1060上进行了实验。结果表明其处理速度是一台主流4核心8线程CPU的20倍以上,并且相对RadarSat-1卫星可以达到10倍左右的实时率;基于GPU的处理方式较好地实现了SAR实时成像系统。
Synthetic Aperture Radar（SAR） imaging requires huge computation load,thus it needs high-end computation platform to construct the system when comes to real time imaging process.Typical SAR real time imaging systems adopt DSP,FPGA and cluster.This paper presents a new approach that realizes SAR real time imaging processing based on Computer Unified Device Architecture（CUDA）,which is a new parallel programming model introduced recently on Graphic Processing Unit（GPU）.The study had analyzed the difference between data parallel mode of CUDA and task parallel mode of typical platform,including studied RD algorithm structure and optimized each step according to CUDA parallel programming model,then the corresponding RD algorithm structure is implemented.This poper also conducted the experiment results showed the speed on this platform is about 20~30 times of a common high-end PC（Intel Core-i7 950）,and 10 times of the speed required for real time imaging for RadarSat-1.It proves a promising way to realize SAR real time imaging system.
出处
《遥感技术与应用》
CSCD
北大核心
2012年第2期237-242,共6页
Remote Sensing Technology and Application
基金
遥感卫星应用国家工程实验室遥感卫星数据接收系统项目(O92601101C)
