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极移时间序列模型的拟合与预测 被引量:6

Fitting and Prediction of Pole Motion Time Series Model
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摘要 对IERS提供的极移数据进行了余弦趋势模型及ARMA模型拟合和预测。对实验结果进行分析,发现余弦趋势模型适合对极移成分进行分析;同时,ARMA模型适合对极移时间序列进行拟合及预测,其拟合精度相对于余弦趋势模型有较大提高,预测精度接近国际最好水平。 The cosine trend model and ARMA model for pole motion have been fitted and forecasted under the use of the data offered by IERS. Through the analysis of the experimen- tal results, we find the cosine trend model more suitable for analyzing the components of the pole motion. Meanwhile, ARMA model is more suitable for fitting pole motion time series, its fitting accuracy is higher than the cosine trend model and its prediction accuracy have reached an advanced level.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2013年第12期1420-1424,共5页 Geomatics and Information Science of Wuhan University
基金 武汉大学测绘学院2012年本科专业综合改革教学研究资助项目(201220) 国家自然科学基金资助项目(41374012) 国家863计划资助项目(2008AA12Z308) 卫星导航定位系列课程国家级教学团队资助项目(214275482)
关键词 极移 时间序列 模型拟合 谱分析 ARMA模型 pole motion time series fitting spectrum analysis ARMA model
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参考文献4

  • 1Wei Erhu, Yan Wei, Jin Shuanggen, et al. Im provement of Earth Orientation Parameter Estimates with ChangE-1 /1 VLBI Observations[J]. Journal of Geodynamics,2013, DOI: 10. 1016/j. jog. 2013. 04. 001.
  • 2Wei Erhu, Jin Shuanggen, Yang Hongzhou, et al. Simulation and Results on Real-Time Positioning of Chang' E-3 Rover with the Same-Beam VLBI Obser- vations[J]. Planetary and Space Science, 2013,84.. 20-27.
  • 3Wei Erhu, Jin Shuanggen, Zhang Qi, et al. Auton- omous Navigation of Mars Probeusing X-ray Pul sars: Modeling and Results[J]. Advances in Space Research,2013, 51(5) ..849-857.
  • 4Cryer J D, Chan K S. Time Series Analysis with Application in R. Second Edition[ M]. Berlin: Springer, 2008.

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