基于精密星历的长春站激光测距数据评价及改善
Laser Ranging Data Assessment and Improvement of Changchun Station Using Precise Ephemerides
龙翃宇 1董雪 2梁智鹏 1韩兴伟 3关博文 1董贺4
作者信息
- 1. 中国科学院国家天文台长春人造卫星观测站,吉林 长春 130117;中国科学院大学,北京 100049
- 2. 中国科学院国家天文台长春人造卫星观测站,吉林 长春 130117;中国科学院大学,北京 100049;中国科学院空间目标与碎片观测重点实验室,江苏 南京 210008
- 3. 中国科学院国家天文台长春人造卫星观测站,吉林 长春 130117;中国科学院空间目标与碎片观测重点实验室,江苏 南京 210008
- 4. 吉林师范大学信息技术学院,吉林 四平 136000
- 折叠
摘要
为提升长春站卫星激光测距数据稳定性,从卫星激光测距物理机制及评价指标出发,建立了基于精密星历的数据评价系统,分析了长春站数据的稳定性及外符合精度.根据分析结果,采用前沿半峰(LEHM)剪切算法改进数据预处理方法,降低了卫星形状效应对数据精度和稳定性的影响.分析表明,基于精密星历的数据评价系统与国际卫星激光测距组织(ILRS)数据中心评价结果一致.采用LEHM剪切算法进行数据处理后,长春站Lageos-1卫星数据的标准点精度由4.9 mm提高至3.9 mm,短期稳定性由19.8 mm提高至18.1 mm,长期稳定性由6.2 mm提高至5.4 mm,外符合精度由79.6 mm提高至68.2 mm.改进的数据预处理算法可有效提升数据稳定性及外符合精度,为长春站数据稳定性与精度的进一步提升指出了方向.
Abstract
In order to improve the satellite laser ranging data accuracy and stability of Changchun Station,analysis was performed with a data assessment system using precise satellite ephemerides.The assessment system was established from physical mechanism and widely recognized evaluation standard of satellite laser ranging,using precise orbit ephemerides as input.With the help of above assessment system,a new method known as the leading edge half maximum(LEHM)algorithm is used to improve the data pre-processing method and reduce the impact of satellite signature effect on data accuracy and stability.Analysis showed that the output of the data assessment system is consistent with those of International Laser Ranging Service(ILRS)analysis centers.After data pre-processing with the LEHM algorithm,normal point accuracy was improved from 4.9 mm to 3.9 mm,short-term stability was improved from 19.8 mm to 18.1 mm,long-term stability was improved from 6.2 mm to 5.4 mm and range accuracy was improved from 79.6 mm to 68.2 mm.The LEHM algorithm can effectively improve the data accuracy and stability,which points out the way to further improve the accuracy and stability of Changchun laser ranging data.
关键词
卫星激光测距/精密星历/轨道检核/数据评价/卫星形状效应Key words
satellite laser ranging/precise ephemerides/orbital validation/data assessment/satellite signature effects引用本文复制引用
出版年
2024
NETL
NSTL
万方数据