全球定位系统2025，Vol.50Issue(1)：93-102,10.DOI:10.12265/j.gnss.2024192
不同太阳光照条件下BDS卫星轨道预报精度分析
Analysis of BDS satellite orbit prediction accuracy under different solar radiation pressure conditions
摘要
Abstract
The BeiDou Navigation Satellite System(BDS)has achieved global coverage.Analyzing the orbit prediction accuracy under different Solar Radiation Pressure conditions is of great significance for improving system positioning accuracy,autonomous navigation performance,and its application development.When satellites are outside the eclipse period,the optimal integration parameters for short-term predictions of the three types of satellites are 900 s and 5th order.For long-term predictions,the optimal integration parameters for GEO and IGSO satellites are also 900 s and 5th order,while for MEO satellites,they are 300 s and 5th order.When satellites are in the eclipse period,it is recommended to use the ECOM9 model for both short-term and long-term predictions of GEO and IGSO satellites.For MEO satellites,the ECOM5 model is recommended for short-term predictions,while for long-term predictions,the ECOM9 model is suggested for MEO satellites with orbit-normal(ON)mode,and the ECOM5 model for other MEO satellites with continuous yaw-steering(CYS)mode.During the eclipse transition period,for GEO and IGSO satellites with ON mode,the effect of solar radiation pressure on orbit prediction accuracy is more significant,while for IGSO satellites with CYS mode,the disturbances caused by the eclipse transition period are effectively weakened.MEO satellites are less affected by solar radiation pressure changes,and their orbit prediction accuracy remains relatively stable.关键词
北斗导航卫星系统(BDS)/短期与长期轨道预报/光压模型/地影转换期/Collocation积分法Key words
BeiDou Navigation Satellite System(BDS)/short-term and long-term orbit prediction/solar radiation pressure model/eclipse transition period/Collocation integration method分类
天文与地球科学引用本文复制引用
张世龙,管育贤,龚晓颖..不同太阳光照条件下BDS卫星轨道预报精度分析[J].全球定位系统,2025,50(1):93-102,10.基金项目
资助项目:国家自然科学基金项目(42374036) （42374036）
四川省自然科学基金项目(2023NSFSC0773) （2023NSFSC0773）
