Research on orbit sequential recursive self-calibration technology

被引:0
|
作者
Yang Ping [1 ]
Liu Lisheng [1 ]
Yang Zewang [1 ]
机构
[1] Acad Equipment Command & Technol, Beijing 101416, Peoples R China
关键词
self-calibration technology; extended Kalman filtering; state variables;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the theory of extended Kalman filtering has been expanded to deal with measuring elements one by one in order to overcome filtering divergence caused by equation linearization.. It utilizes increasing method of state variables to add systematic error sources to state variables being estimated and forms new state variables. By using this method, the paper has established new dynamics and observable models then educed the method and formulae of sequential recursive self-calibration technology for orbit measuring data processing. Theoretical reasoning and simulation indicate that sequential recursive self-calibration technology is effective and can achieve high orbit precision.
引用
收藏
页码:4763 / 4766
页数:4
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