标题:Prediction and Analysis of Chinese Earth Rotation Parameters Based on Robust Least-Squares and Autoregressive Model
作者:Sun, Zhangzhen; Xu, Tianhe; He, Bing; Ren, Gang
通讯作者:Sun, Zhangzhen
作者机构:[Sun, Zhangzhen] Shandong Univ, Inst Space Sci, Weihai, Shandong, Peoples R China.; [Xu, Tianhe] State Key Lab Geoinformat Engn, Xian, Shanxi, Peopl 更多
会议名称:China Satellite Navigation Conference (CSNC) 2015 Proceedings, VolII
会议日期:MAY 13-15, 2015
来源:China Satellite Navigation Conference (CSNC) 2015 Proceedings, VolII
出版年:2015
卷:341
页码:477-486
DOI:10.1007/978-3-662-46635-3_40
关键词:Earth rotation parameters; Time-varying; Robust; Least-squares;; Autoregressive
摘要:Earth Rotation Parameters ( ERP) are the necessary parameters to achieve mutual conversion of the celestial reference frame and earth reference frame. It is the requirements of national economic construction and national major strategic defense, and the needs of key frontier disciplines and production applications. In this paper, we take into account the consistency and stability of the Chinese ERP data, and the least-squares combination of Autoregressive ( LS+AR) model and the Robust least-squares combination of Autoregressive ( RLS+AR) model are proposed to use to predict different span of ERP based on Chinese ERP data, as the cycles and trends have the characteristic of time-varying in the data. The results show that, the RLS+AR model can reduce Influence of crude differential on forecast accuracy effectively, and then achieve the IERS prediction accuracy, and meet the need of national defense in time and space datum height consistency.
收录类别:CPCI-S;EI
资源类型:会议论文
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