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| 基于多处理板联合SAR成像的分布式计算模拟系统研究 |
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杨涛1, 赵启钊1,2, 孙光才1,2, 李光伟1, 费晓燕1, 杨军3, 刘会涛4
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1.西安电子科技大学, 陕西 西安 710071;2.西安电子科技大学 雷达信号处理国家重点实验室, 陕西 西安 710071;3.西安科技大学 测绘科学与技术学院, 陕西 西安 710000;4.珠海纳睿达科技有限公司, 广东 珠海 519085
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| 摘要: |
| 合成孔径雷达（SAR）卫星的探测范围有限，全轨利用率不高，并且单个卫星的计算和存储资源有限，难以完成大量的星载合成孔径雷达数据处理。本文拟采用多处理板联合的数据处理方法，针对星上分布式计算构建一种模拟系统，以提高星上数据处理效率，验证多处理板联合的数据处理方法在高效利用卫星计算与存储资源、提升单个卫星全轨利用率等方面的优点。本系统基于距离多普勒（range Doppler，RD）成像算法的多卫星分布式SAR实时处理方法，并以现场可编程门阵列（FPGA）芯片为核心构建了分布式计算模拟系统。不同于传统的单个卫星RD算法处理过程，该系统将处理过程分为三个阶段。每个阶段内运算任务被合理地分配给不同的数据处理单元。利用高分三号卫星（GF-3） SAR原始数据进行成像处理，以检验方法和系统的性能。 |
| 关键词: 合成孔径雷达 距离多普勒成像算法 现场可编程门阵列 分布式计算模拟系统 高分三号卫星 |
| DOI：10.11759/hykx20201106006 |
| 分类号:TN959.3 |
| 基金项目:国家重点研发计划项目（2017YFC1405600）；广东省引进创新创业团队项目 |
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| Distributed computing simulation system based on a multi-processing board combined with SAR imaging |
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YANG Tao1, ZHAO Qi-zhao1,2, SUN Guang-cai1,2, LI Guang-wei1, FEI Xiao-yan1, YANG Jun3, LIU Hui-tao4
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1.Xidian University, Xi'an 710071, China;2.National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China;3.College of Geomatics, Xi'an University of Science and Technology, Xi'an 710000, China;4.Zhuhai Naruida technology Ltd., Zhuhai 519085, China
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| Abstract: |
| Synthetic-aperture radar (SAR) satellites have a limited detection range, low full-orbit utilization rates, and limited computing and storage resources on a single satellite, making performing many spaceborne SAR data-processing tasks difficult. This paper uses the data-processing method of multi-processing boards to build a simulation system for onboard distributed computing to improve the efficiency of data processing. It verifies the advantages of multi-processing boards' data-processing methods in the efficient use of satellite computing and storage resources and in improving the full-orbit utilization rate of a single satellite. This system is based on the range-doppler (RD) algorithm of the multi-satellite distributed SAR real-time processing method and on the field-programmable gate array (FPGA) chip. Unlike the traditional single-satellite RD algorithm, this system divides the process into three stages. The computing tasks are appropriately assigned to different data-processing units within each stage. Original data of the Gaofen-3 SAR satellite are used for imaging processing in order to test the performance of the method and system. |
| Key words: synthetic aperture radar range-Doppler algorithm distributed data processing field-programmable gate array Gaofen-3 |