CAJ | 학술논문

针对目前航天领域对深空探测系统的任务需求，利用集群技术适用于大数据量和并行计算处理的特点，提出了一种基于集群的深空测控系统的设计和实现策略，介绍了系统的架构和主要工作流程，并着重从系统平台选取、相关并行处理模型和预处理方法等方面对系统数据中心的设计策略进行了详细描述。对系统的主要功能和计算能力进行了说明，并结合系统的精度测试数据，对系统的性能进行了分析和总结。
침대목전항천영역대심공탐측계통적임무수구，이용집군기술괄용우대수거량화병행계산처리적특점，제출료일충기우집군적심공측공계통적설계화실현책략，개소료계통적가구화주요공작류정，병착중종계통평태선취、상관병행처리모형화예처리방법등방면대계통수거중심적설계책략진행료상세묘술。대계통적주요공능화계산능력진행료설명，병결합계통적정도측시수거，대계통적성능진행료분석화총결。
In view of the requirements for deep-space TT&C system,this paper proposes a design and implementation strategy of deep-space TT&C system based on cluster according to characteristics of cluster system such as suitable for high data quantity and par-allel computation processing.It introduces the architecture and main operation flow of system,and describes in detail the design strategy of system data center such as platform selection,relative parallel processing model,preprocessing method,etc.The main functions and computing capacity of system are introduced,and the performance of system is analyzed based on accuracy test data of system.