遥感卫星计算传输及其关键技术  

Remote Satellites Computing transmission and Key Technologies

作　　者：呼延烺 李映[1] 周诠[2] 魏佳圆[2] 刘娟妮[2] 张怡[2] Hu Yanlang;Li Ying;Zhou Quan;Wei Jiayuan;Liu Juanni;Zhang Yi(School of Computer Science,Northwestern Polytechnical University,Xi'an 710129,China;Key Laboratory of Science and Technology on Space Microwave,CAST Xi'an,Xi'an 710100,China)

机构地区：[1]西北工业大学计算机学院,陕西西安710001 [2]中国空间技术研究院西安分院,陕西西安710072

出　　处：《天地一体化信息网络》2022年第2期63-71,共9页Space-Integrated-Ground Information Networks

基　　金：国家重点研发计划(No.2020YFB1808003);中国航天科技集团公司创新基金(No.Y20-JTKJCX-02);国家重点实验室基金(No.6142411432107)。

摘　　要：遥感数据的多样性及获取能力增加使得星上产生的数据量呈几何级增长,这给遥感卫星数据传输系统造成了巨大压力,导致遥感卫星数据传输系统无法满足实时传输的需求,成为遥感数据应用的瓶颈。研究海量遥感卫星数据传输系统及技术是目前国际卫星信息网络科学技术的前沿领域之一。围绕遥感卫星高速数据传输瓶颈、遥感载荷利用率以及星上存储等关键问题,将传统的卫星数据传输系统与星上智能处理相结合提出一种遥感卫星计算传输框架,并分析其关键技术。The diversity of remote sensing data and the increase of acquisition ability make the amount of data generated on the satellite increase geometrically.This situation puts tremendous pressure on the remote satellite data transmission system.This makes the remote satellite data transmission system unable to meet the needs of real-time transmission and becomes the bottleneck of remote sensing data application.The research on massive remote satellite data transmission systems and technology is one of the frontier fields of international satellite information network science and technology.Focused on the critical problems of remote satellite real-time data transmission bottleneck,remote sensing data transmission timeliness,remote sensing load utilization,and onboard storage,combined with the traditional satellite data transmission system with onboard intelligent processing,a new remote satellite computing transmission framework was proposed,and its key technologies were analyzed.

关 键 词：计算传输 星上智能处理 智能遥感 软硬件协同 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]