卫星遥测数据实时压缩算法设计与实现  

Design and implementation of real-time compression algorithm on satellite telemetry data

作　　者：史礼婷 张骞 程科文 吕海全 SHI Liting;ZHANG Qian;CHENG Kewen;LYU Haiquan(Leobit Technology Co.,Ltd.,Wuhan 430040,China;Ningbo Tianqing Aerospace Technology Co.,Ltd.,Ningbo 315100,China)

机构地区：[1]航天行云科技有限公司,武汉430040 [2]宁波天擎航天科技有限公司,宁波315100

出　　处：《遥测遥控》2023年第5期22-27,共6页Journal of Telemetry,Tracking and Command

基　　金：湖北省军民融合重点研发计划项目(2020BIB003)。

摘　　要：为了满足多星并行遥测数据处理和海量数据高并发分析的性能需求,便于后续进行数据挖掘、智能预警,本文提出并实现了一种卫星遥测数据实时压缩算法。针对遥测数据的特点,提出了遥测自适应分类方法,采用改进型RLE(Run Length Encoding,行程编码)压缩和增量压缩结合的算法,结合数据库技术,实现了遥测数据的压缩。在某型号卫星研制项目中,采用了该算法进行数据压缩,统计分析表明:该算法起到了很好的压缩效果。In order to meet the requirements of multi-satellite parallel telemetry data processing and high-concurrency analysis for massive data,facilitateing data mining and intelligent warning,this paper proposes and implements a real-time compression algorithm for satellite telemetry data.Based on the characteristics of telemetry data,a telemetry adaptive classification method is proposed,using an improved RLE compression and incremental compression algorithms combined with database technology to achieve compression of telemetry data.In the development project of a certain type of satellite,this algorithm was used for data compression,and statistical analysis shows that this algorithm has achieved good compression results.

关 键 词：遥测数据 压缩算法 自适应分类 改进型RLE 增量压缩 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] V557.3[自动化与计算机技术—计算机科学与技术]