Research on Orbit Sequential Recursive Self-calibration Technology

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.

关键词： self-calibration technology extended Kalman filtering state variables

作者: YANG Ping LIU Lisheng YANG Zewang

作者单位: The Academy of Equipment Command &Technology, Beijing 101416,China;Beijing Institute of Tracing and Beijing Institute of Tracing and Telecommunication Technology, Beijing 100094,China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）