| 基于时间序列分解的GPS卫星钟差预报 |
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| 引用本文： | 陈正生,吕志平,张清华,王鹏.基于时间序列分解的GPS卫星钟差预报[J].测绘科学,2011,36(3):116-118. |
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| 作者姓名： | 陈正生 吕志平 张清华 王鹏 |
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| 作者单位： | 1. 信息工程大学测绘学院,郑州,450052
2. 信息工程大学测绘学院,郑州,450052;72946部队,山东淄博,255000 |
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| 基金项目： | 国家863计划资助项目(2009AA12Z305); 国家自然科学基金项目(40874008) |
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| 摘 要： | 根据二次多项武和灰色模型在卫星钟差预报中的特点,本文提出以ARMA(Autoregressive Moving Aver-age)模型分别进行改进;对IGS(International GPS Service for Geodynamic)提供的精密钟差进行时间序列分解,根据预报时间的长短,趋势项分别采用二次多项式和灰...
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| 关 键 词： | 精密钟差 时间序列分析 ARMA |
GPS satellite clock error predicting based on ARMA analysis |
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| CHEN Zheng-sheng,LV Zhi-ping,ZHANG Qing-hua,WANG Peng.GPS satellite clock error predicting based on ARMA analysis[J].Science of Surveying and Mapping,2011,36(3):116-118. |
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| Authors: | CHEN Zheng-sheng LV Zhi-ping ZHANG Qing-hua WANG Peng |
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| Institution: | ①②(①Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;②72946 Troops,Shandong Zibo 255000,China) |
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| Abstract: | According to the benefits of quadratic polynomials and the Gray model in prediction of satellite clock error,this paper proposed to improve it with ARMA(Autoregressive Moving Average) model.To decompose the precise GPS clock error provided by the IGS(International GPS Service for Geodynamic),the trend item was fit in accordance with quadratic polynomial model and the Gray model whose difference lies only in the length of time,and the random item was simulated by ARMA model.At last,in the short-term and long... |
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| Keywords: | precise clock error time series analysis ARMA |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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