基础时间序列长度对ERP短期预报精度影响的分析
|
摘要
高精度预报地球自转参数(Earth Rotation Parameters,ERP)对卫星导航等领域具有重要意义。不同时间长度的ERP序列作为基础序列对预报结果影响不同。分别对2～20年长度的以ERP序列作为基础时间序列的预报精度进行统计分析发现,当ERP基础时间序列为10年时,对3个参数的预报效果较优,但依据预报跨度的不同,也可适当调整基础时间序列长度。
High accuracy prediction of earth rotation parameters has great significance on satellite navigation and other fields. Different length of ERP has different effects on prediction results as base sequences. Statistical analysis of prediction accuracy of ERP sequence of 2～20 years length as base time series shows that the prediction effect of the three parameters is better when the ERP base time series length is 10. And the length of basic time series can also be adjusted appropriately according to the difference of forecast span.
High accuracy prediction of earth rotation parameters has great significance on satellite navigation and other fields. Different length of ERP has different effects on prediction results as base sequences. Statistical analysis of prediction accuracy of ERP sequence of 2～20 years length as base time series shows that the prediction effect of the three parameters is better when the ERP base time series length is 10. And the length of basic time series can also be adjusted appropriately according to the difference of forecast span.
引文
[1]郭忠臣,徐波.两种线性地球自转参数短期预报方法[J].沈阳大学学报(自然科学版),2017,29(6):505-510.
[2]XU X Q,ZHOU Y H. EOP prediction using least square fit?tingandautoregressivefilteroveroptimizeddataintervals[J].Advances in Space Research,2015,56(10):2248-2253.
[3]姚宜斌,岳顺强,陈鹏.一种适用于极移预报的附加误差修正的LS+AR新模型[J].中国科学:地球科学,2013,43(4):665-676.
[4]X. Q. Xu,Y. H. Zhou,X. H. Liao. Short-term earth orienta?tion parameters predictions by combination of the least-squares,AR model and Kalman filter[J]. Journal of Geody?namics,2012,62(8):83-86.
[5]XueQing Xu,YongHong Zhou. EOP prediction using leastsquare fitting and autoregressive filter over optimized dataintervals[J]. Advances in Space Research,2015,56(10):2248-2253.
[6]孙张振,徐天河.基于LS+AR模型的LOD预报及其周期项影响分析[J].大地测量与地球动力学,2013,33(4):69-72.
[7]严凤,姚宜斌.地球自转参数短期预报方法及其实现[J].大地测量与地球动力学,2012,32(4):71-75.
[8]曾昭福.求解三维坐标转换参数的总体最小二乘新方法[J].廊坊师范学院学报(自然科学版),2018,18(2):20-24.
[9]郭忠臣,邹慧.基于快速傅里叶变换法的地球自转参数周期性研究[J].宿州学院学报,2018,33(1):114-117.
[10]陈略,唐歌实,许雪晴,等.地球极移参数高精度双差分LS+AR预报方法研究[J].大地测量与地球动力学,2015,35(5):844-848.
[11]孙张振.高精度地球自转参数预报的理论与算法研究[D].西安:长安大学,2013.
[2]XU X Q,ZHOU Y H. EOP prediction using least square fit?tingandautoregressivefilteroveroptimizeddataintervals[J].Advances in Space Research,2015,56(10):2248-2253.
[3]姚宜斌,岳顺强,陈鹏.一种适用于极移预报的附加误差修正的LS+AR新模型[J].中国科学:地球科学,2013,43(4):665-676.
[4]X. Q. Xu,Y. H. Zhou,X. H. Liao. Short-term earth orienta?tion parameters predictions by combination of the least-squares,AR model and Kalman filter[J]. Journal of Geody?namics,2012,62(8):83-86.
[5]XueQing Xu,YongHong Zhou. EOP prediction using leastsquare fitting and autoregressive filter over optimized dataintervals[J]. Advances in Space Research,2015,56(10):2248-2253.
[6]孙张振,徐天河.基于LS+AR模型的LOD预报及其周期项影响分析[J].大地测量与地球动力学,2013,33(4):69-72.
[7]严凤,姚宜斌.地球自转参数短期预报方法及其实现[J].大地测量与地球动力学,2012,32(4):71-75.
[8]曾昭福.求解三维坐标转换参数的总体最小二乘新方法[J].廊坊师范学院学报(自然科学版),2018,18(2):20-24.
[9]郭忠臣,邹慧.基于快速傅里叶变换法的地球自转参数周期性研究[J].宿州学院学报,2018,33(1):114-117.
[10]陈略,唐歌实,许雪晴,等.地球极移参数高精度双差分LS+AR预报方法研究[J].大地测量与地球动力学,2015,35(5):844-848.
[11]孙张振.高精度地球自转参数预报的理论与算法研究[D].西安:长安大学,2013.