国防科技大学学报2011，Vol.33Issue(3)：1-4,32,5.
广播星历参数星上自主拟合算法
Autonomously Updated Broadcast Ephemeris Algorithm
摘要
Abstract
The navigation constellation's autonomous navigation requires the autonomously updating of the broadcast ephemeris. In view of the limited data-processing ability of the satellite, the forgetting factor recursive least-squares algorithm was introduced to improve the data-processing efficiency. Considering that the navigation satellite's orbit eccentricity is equal to zero approximately, it would result in the singularity of the normal matrix in the process of fitting. The new broadcast ephemeras parameters fitting algorithm was developed and the partial derivative matrix of satellite position vector with respect to modified parameter was deduced based on the non-singular transformation. Finally, the rationality of formulas and algorithm are validated by simulation.关键词
星上自主更新/广播星历参数/无奇异变换/递推最小二乘Key words
onboard updated technique/ broadcast ephemeris parameters/ non-singular transformation/ recursion least square分类
航空航天引用本文复制引用
陈忠贵,刘光明,廖瑛,文援兰..广播星历参数星上自主拟合算法[J].国防科技大学学报,2011,33(3):1-4,32,5.基金项目
国家863基金资助项目(2007AA2Z308) （2007AA2Z308）
