| 摘要: |
| 当今世界已进入大数据和云计算时代，引发包括航天测控领域在内的各行业进行工作模式和思维方式的变革。提出了一种用于航天测控站的全站计算环境（TSCE），为整个测控站提供统一的通用计算环境，具有成本低、软件化、综合化、可伸缩、可靠性高等优点。从逻辑视图、物理视图和功能视图三个角度对TSCE的体系结构进行了描述。研究表明，现有实时流计算系统不适用于航天测控信号处理，因此，提出一种层次化并行处理框架（HPPF），可通过调整HPPF的信号块长度和支路数目两个参数，使之满足实时性要求。 |
| 关键词: 云计算 航天测控站 全站计算环境 体系结构 实时流计算 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61271265） |
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| Aerospace TT&C signal processing platform on cloud computing |
| YAN Di,WANG Yuanqin,MA Hong,LIU Yandu,SUN Ke |
| (Department of Electronic and Optical Engineering,Space Engineering University,Beijing 101416,China;Beijing Aerospace Control Center,Beijing 102206,China) |
| Abstract: |
| The current world has come into the big data and cloud computing era,which leads to the change of working mode and thinking mode in various fields including aerospace tracking,telemetry&command(TT&C) field. A total station computing environment(TSCE) for aerospace TT&C station is proposed,which provides a unified general computing environment for the entire TT&C station. It has the advantages of low cost,software,integration,scalability and reliability. The system architecture of TSCE is described from three views:logical view,physical view and functional view. The research shows that the existing real-time stream computing systems are not suitable for aerospace TT&C signal processing,and a hierarchical parallel processing framework(HPPF) is proposed. By adjusting the two parameters of HPPF:the length of the signal block and the number of branches,it can meet the real-time requirements. |
| Key words: cloud computing aerospace TT&C station total station computing environment(TSCE) system architecture real-time stream computing |
