中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filter

文献类型:期刊论文

作者Xu, X. Q.1,2; Zhou, Y. H.1; Liao, X. H.1
刊名JOURNAL OF GEODYNAMICS
出版日期2012-12-01
卷号62期号:1016页码:83-86
关键词EOP prediction Least-squares AR model Kalman filter
英文摘要This study employs a combination of the least-squares, an autoregressive (AR) model and a Kalman filter (LS + AR + Kalman) in short-term prediction of the earth orientation parameters (the length-of-day (LOD), UT1-UTC and polar motion). Compared to least-squares and AR model (LS + AR), the combination of least-squares. AR model and Kalman filter performs better in the prediction of UT1-UTC and LOD, and shows a significant improvement in prediction of the polar motion. (C) 2011 Elsevier Ltd. All rights reserved.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Geochemistry & Geophysics
研究领域[WOS]Geochemistry & Geophysics
关键词[WOS]DEFORMABLE EARTH ; TIME
收录类别SCI
语种英语
WOS记录号WOS:000312169900013
公开日期2014-10-27
源URL[http://119.78.226.72//handle/331011/15346]  
专题上海天文台_行星科学重点实验室
作者单位1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
推荐引用方式
GB/T 7714
Xu, X. Q.,Zhou, Y. H.,Liao, X. H.. Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filter[J]. JOURNAL OF GEODYNAMICS,2012,62(1016):83-86.
APA Xu, X. Q.,Zhou, Y. H.,&Liao, X. H..(2012).Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filter.JOURNAL OF GEODYNAMICS,62(1016),83-86.
MLA Xu, X. Q.,et al."Short-term earth orientation parameters predictions by combination of the least-squares, AR model and Kalman filter".JOURNAL OF GEODYNAMICS 62.1016(2012):83-86.

入库方式: OAI收割

来源:上海天文台

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