机架式服务器的遥感卫星地面基带处理系统设计  

Design of ground baseband processing system for remote sensing data transmission based on rack server

在线阅读下载全文

作  者:党妮 汤昊[1] 靳一[1] 卞敏杰[1] 毛双兰 DANG Ni;TANG Hao;JIN Yi;BIAN Minjie;MAO Shuanglan(China Academy of Space Technology(Xi’an),Xi’an 710000,China)

机构地区:[1]中国空间技术研究院西安分院,西安710000

出  处:《空间电子技术》2018年第6期40-45,共6页Space Electronic Technology

摘  要:文章针对传统刀片式服务器的遥感卫星地面基带处理系统具有处理速率一般、写盘速率不够高、体积较大等特点,提出一种基于机架式服务器的地面基带处理系统。该处理系统克服了传统的基于刀片式服务器的处理系统的缺点,更加符合当前遥感卫星的发展理念。文章分别从硬件设计和软件设计两方面进行介绍,用真实的卫星数据作为测试用例,通过统计处理每组数据所消耗的时间,仿真分析了两种基带处理系统的性能,并测试了软件优化后的机架式服务器处理系统的解压缩速率;解压缩速率测试是通过对一定大小的原始数据进行多次解压缩处理、并统计每次处理的运行时间和处理速率来实现。测试结果表明:与刀片式服务器处理平台相比,机架式服务器处理平台具备处理速率快、写盘速率高和易于小型化等优点。The traditional digital baseband processing system based on the blade server has the characteristics of low processing speed,low writing rate and large volume, A digital ground baseband processing system based on rack server is proposed in this paper,the system overcomes the shortcomings of the traditional processing system,and is more in line with the current development concept of remote sensing satellites. It is introduced in detail from the perspective of hardware design and software design. Using real satellite data as test cases, the performance of the two baseband processing systems is simulated and analyzed by statistical processing of the time consumed by each group of data. Moreover,the decompression rate of optimized software on the rack server processing system are tested. Decompression rate test is done by decompressing the original data of a certain size and counting the running time and processing speed. The results show that, compared with the blade server processing platform, the rack server processing platform has the advantages of fast processing rate, high writing disk speed and easy to be miniaturized.

关 键 词:地面基带处理 机架式服务器 解压缩 小型化 

分 类 号:TN821[电子电信—信息与通信工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象