摘要
合成孔径雷达(SAR)卫星能探测到的范围有限,全轨利用率不高。单个卫星的计算和存储资源有限,难以完成大量星载合成孔径雷达数据的处理。拟采用新的组网卫星数据处理方法,提高星上数据处理效率。本文研究了一种基于线频调(CS)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数据处理系统。不同于传统的CS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(即卫星)。该方法有效降低了卫星计算与存储资源,提升了单个卫星全轨利用率,节省了数据处理时间。利用系统对高分三号卫星(GF-3)卫星SAR原始数据的成像处理,检验方法的性能。
Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process large amounts of data of spaceborne synthetic aperture radars.It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing.A multi-satellite distributed SAR real-time processing method based on Chirp Scaling(CS)imaging algorithm is studied in this paper,and a distributed data processing system is built with field programmable gate array(FPGA)chips as the kernel.Different from the traditional CS algorithm processing,the system divides data processing into three stages.The computing tasks are reasonably allocated to different data processing units(i.e.,satellites)in each stage.The method effectively saves computing and storage resources of satellites,improves the utilization rate of a single satellite,and shortens the data processing time.Gaofen-3(GF-3)satellite SAR raw data is processed by the system,with the performance of the method verified.
作者
杨军
曹筵东
孙光才
邢孟道
郭亮
YANG Jun;CAO Yan-dong;SUN Guang-cai;XING Meng-dao;GUO Liang(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710000,China;National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China;School of Physics and Optoelectronic Engineering,Xidian University,Xi’an 710071,China)
基金
Project(2017YFC1405600)supported by the National Key R&D Program of China
Project(18JK05032)supported by the Scientific Research Project of Education Department of Shaanxi Province,China。
