卫星遥测数据实时压缩算法设计与实现

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。

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

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.