含误差预报校正的GM(1,1)卫星钟差预报新方法
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  • 英文篇名:A new method of GM(1,1)satellite clock bias prediction with error prediction correction
  • 作者:于烨 ; 张慧君 ; 李孝辉
  • 英文作者:YU Ye;ZHANG Huijun;LI Xiaohui;National Time Service Center,Chinese Academy of Science;Key Laboratory of Precision Navigation and Timing Technology,National Time Service Center,Chinese Academy of Science;University of the Chinese Academy of Science;School of Astronomy and Space Science,University of the Chinese Academy of Science;
  • 关键词:卫星钟差 ; 预报 ; GM(1 ; 1)预报模型 ; AR(p)预报模型 ; 误差校正
  • 英文关键词:satellite clock bias;;prediction;;GM(1,1)prediction model;;AR(p)prediction model;;error correction
  • 中文刊名:CHKD
  • 英文刊名:Science of Surveying and Mapping
  • 机构:中国科学院国家授时中心;中国科学院精密导航定位与定时技术重点实验室;中国科学院大学;中国科学院大学天文与空间科学学院;
  • 出版日期:2018-12-20 14:43
  • 出版单位:测绘科学
  • 年:2019
  • 期:v.44;No.250
  • 基金:国家自然科学基金青年基金项目(11503030);; 中国科学院“西部之光”人才培养项目(Y507YR0501);; 国防科技创新基金项目(CXJJ-17-M110)
  • 语种:中文;
  • 页:CHKD201904003
  • 页数:7
  • CN:04
  • ISSN:11-4415/P
  • 分类号:12-18
摘要
为了提高卫星钟差预报精度,该文提出用AR(p)模型对GM(1,1)建模过程中的模型残差进行建模预报,以此来提高GM(1,1)模型预报卫星钟差的精度。首先,剔除卫星钟差数据中的异常值,采用拉格朗日插值法将缺失的数据补齐;然后,用GM(1,1)模型对卫星钟差进行预报,对GM(1,1)的模型残差作平稳化处理后,采用AR(p)模型对处理后的残差序列进行预报;最后,将GM(1,1)和AR(p)模型的预报结果对应相加即得到钟差的最终预报值。此外,该文采用IGS公布的事后精密卫星钟差进行预报试验,并将该文结果与卫星钟差预报中常用的二次多项式和修正指数曲线法模型预报结果进行对比分析。结果表明,该方法可以对GPS卫星钟差进行高精度的中短期预报。
        In order to improve the accuracy of satellite clock bias(SCB)prediction,it was proposed to use auto-regressive(AR(p))to model the residuals of grey model(GM(1,1))in the modeling process,so as to improve the GM(1,1)poor precision.Firstly,the anomaly of the SCB data was eliminated,and the missing data was filled with the Lagrange interpolation method.Then,the GM(1,1)model was used to forecast the SCB.Finally,the prediction results of GM(1,1)and AR(p)model were added to achieve the final forecast value.In addition,the predictive test was carried out by using the precision SCB published by IGS,and the results were compared with those used in the prediction of SCB using the quadratic polynomial method(QPM)and modified exponential curve method(MECM)model.The results showed that this method could make high-precision short-term forecast of GPS SCB.
引文
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