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
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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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