星基并置轨道配置对地球自转参数解算的影响
Influence of orbital configurations for co-location onboard LEO satellites on ERP determination
陈子超 1李星星 1张柯柯 1张伟 1黄适 1袁勇强1
作者信息
- 1. 武汉大学 测绘学院,武汉 430079
- 折叠
摘要
为了进一步研究全球卫星导航系统(GNSS)和卫星激光测距(SLR)低轨卫星(LEO)星基并置对于地球自转参数(ERP)解算的贡献,综合评估星基并置轨道配置和空间连接误差对地球自转参数解算的影响:通过仿真实验,联合地面全球定位系统(GPS)、低轨卫星星载GPS,以及低轨卫星激光测距观测数据,分析低轨卫星轨道配置、空间连接误差对地球自转参数解算精度的影响.结果表明,ERP的估计精度受低轨星基并置站的轨道高度和倾角影响较为明显;相比于低轨道、低倾角卫星,高轨道、高倾角卫星对于极移参数的解算精度提升效果更为显著,这主要是得益于该轨道配置可提供更多的SLR观测数据;此外,空间连接误差分析结果表明,ERP对于低轨卫星SLR棱镜质心改正的误差更加敏感,特别是在Z向,2 cm的Z向SLR棱镜质心改正误差可使得极移X分量和Y分量的估计精度分别下降24％和14％.
Abstract
In order to further study the contribution of low Earth orbiter (LEO) as a global navigation satellite system (GNSS) and satellite laser ranging (SLR) co-location to the Earth rotation parameters (ERP) estimation,the paper comprehensively evaluated the effect of LEO orbit configuration and space-tie error on the calculation of ERP:the effects of LEO configuration and space-tie errors on the accuracy of ERP were analyzed through simulation experiments,combined with the observation data of global positioning system (GPS),satellite-borne GPS and SLR of LEO. Results showed that the orbital height and inclination of the LEO onboard co-location would have a significant influence on the calculation accuracy of ERP;and satellites with higher orbital height and inclination would present a better performance in improving the determination accuracy of the derived ERP parameters,mainly because this orbit configuration could provide more SLR observations;in addition,the ERP parameters would be more sensitive to the errors in the center-of-mass (CoM) correction of SLR laser retro-reflector array (LRA),especially in the Z direction,where 2 cm of the SLR LRA CoM correction error in the Z direction could degrade the estimation accuracy of X-pole and Y-pole components by 24％ and 14％,respectively.
关键词
低轨卫星(LEO)/星基并置站/地球自转参数(ERP)/轨道配置/空间连接误差Key words
low Earth orbiter (LEO)/satellite co-locations/Earth rotation parameters (ERP)/orbit configuration/space-tie error引用本文复制引用
基金项目
国家重点研发计划项目(2021YFB2501102)
国家自然科学基金项目(41974027)
湖北省自然科学基金项目(2020CFA002)
中德科学中心-中德国际合作项目(M-0054)
出版年
2024
NETL
NSTL
万方数据