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《Remote Sensing Technology and Application》 2012-02
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Optimization and Implementation of RD Algorithm in SAR Ground Quick Look System According to GPU Platform

Yang Renzhong,Zhang Tao,Lin Botao,Wei Hongwei(Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China)  
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.
【Fund】: 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)
【CateGory Index】: TP751;P225
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