嫦娥工程X射线谱仪的数据压缩研究

Research on Data Compression of the X-Ray Spectrometer for Chang'E Mission

本文对嫦娥工程中的重要科学载荷X射线谱仪提出了一种有效的数据压缩方案。针对具体的数据特征,结合稀疏串编码、相关编码、前缀编码和字典编码等思想实现了无损和近无损压缩,使实验室理想环境下获得以及经嫦娥一号卫星下传的太阳能谱数据平均压缩比分别达到15和7,两种情况下的月球事例数据平均压缩比都为2,同时算法还具有一定的纠错能力,满足了X射线谱仪数据压缩的需求,为嫦娥三号卫星上粒子激发X射线谱仪的星载数据处理和后续工作提供了经验和准备。

An efficient data compression scheme for the X-ray spectrometer,which is one of the key payloads of Chang＇E Mission,is presented in this paper.According to the actual data characteristics,this scheme can use a series of algorithms like sparse strings coding,correlative coding,prefix coding and dictionary coding to realize lossless and nearly lossless compression.Experimental results prove that the average compression ratio of solar energy spectrum obtained from laboratory tests and Chang＇E-1 satellite data respectively are 15 and 7,and the average compression ratio of two kinds of lunar events are both 2.Besides,it also has some error correcting capability.This data compression scheme can meet the function requirements and provide experience and preparation for the data processing tasks of particle X-ray spectrometer in Chang＇E-3 satellite.