电波科学学报2016，Vol.31Issue(5)：843-850,8.DOI:10.13443/j.cjors.2016011702
带摄动力拟合的低轨卫星实时定轨 STCKF 算法
An STCKF algorithm for LEO satellite orbit determination with disturbing fitting function
摘要
Abstract
A strong tracking cubature Kalman filter(STCKF)algorithm with disturbing fitting func-tion is proposed for Leo satellite orbit determination when inaccurate initial value and orbit model lead to low precision of filter.The suboptimal fading factor is calculated using the equivalent expression of strong tracking filter(STF)to adjust the gain matrix online and to force the residual sequence orthogonal to each other,which effectively reduces the sensitivity to the initial state.Improved Eular method is used to dis-perse the orbital dynamic equation with J 2 perturbation,and the polynomial fitting function is used to re-present the rest disturbing force.The simulation results show that STCKF with disturbing fitting function can effectively improve the orbit determination accuracy,and reduce the dependence on initial value of the filter.关键词
摄动力/多项式拟合/实时定轨/强跟踪容积卡尔曼滤波/欧拉预测校正法Key words
disturbing force/polynomial fitting/orbit determination/strong tracking cubature Kal-man filter/improved Eular method分类
航空航天引用本文复制引用
李兆铭,杨文革,丁丹,王超..带摄动力拟合的低轨卫星实时定轨 STCKF 算法[J].电波科学学报,2016,31(5):843-850,8.基金项目
国家高技术研究发展计划(2015AA7026085) （2015AA7026085）
