摘要
卫星导航系统对卫星钟进行实时监测,产生的星地钟差数据量很大,需要进行压缩以便于存储和传输。本文提出一种增量压缩算法,对连续的钟差数据作单差处理,得到平稳的钟差增量序列,相比原来的钟差序列,幅值大幅压缩。对于数据中断和跳变情况,采用跳变探测和剔除算法,并对中断数据进行内插,得到等间隔和幅值有限的钟差增量序列,对增量进行量化时还要消除累积误差和量化偏差。实验数据表明,采用增量压缩算法可以将1天的星地钟差数据压缩90%。
When we real time monitor the satellite ground clock errors of GNSS. We should compress a large data so as to reserve and transit them. Arithmetic is given in this paper, so as to get stable clock errors compress sequence which is more reduced than primary clock errors sequence. We use detect and reject way to deal with data discontinue and data change, and by insert data way to get good clock errors sequence, and we eliminate errors and offset. Test data indicate, this augmenter compress arithmetic can reduce 90% data space.
出处
《数字通信世界》
2015年第S1期10-12,共3页
Digital Communication World
关键词
卫星导航
星地钟差
增量压缩
GNSS
satellite ground clock errors
augmenter compress
