现有的UT1-UTC预报模式在进行周期项与残差项拟合分离时,通常没有考虑最小二乘拟合序列的端部畸变现象(数据处理中称为端部效应),预报精度难以取得较大改善。针对最小二乘拟合存在的端部畸变现象,首先采用时序分析方法在UT1-UTC序列两...现有的UT1-UTC预报模式在进行周期项与残差项拟合分离时,通常没有考虑最小二乘拟合序列的端部畸变现象(数据处理中称为端部效应),预报精度难以取得较大改善。针对最小二乘拟合存在的端部畸变现象,首先采用时序分析方法在UT1-UTC序列两端进行数据延拓,形成一个新序列,然后用新序列求解最小二乘外推模型系数,最后再联合最小二乘外推模型及神经网络对UT1-UTC序列进行预测。结果表明,在UT1-UTC序列端部增加延拓数据,可以有效地抑制最小二乘拟合序列的端部畸变,相对于常规的最小二乘外推模型,基于端部效应改善的最小二乘(Edge-effect Corrected Least Squares,ECLS)外推模型的UT1-UTC中长期预报精度改善明显。展开更多
Accurate ultra-short-term prediction of the Earth rotation parameters(ERP)holds paramount impor-tance for real-time applications,particularly in reference frame conversion.Among them,diurnal rota-tion(UT1-UTC)which ca...Accurate ultra-short-term prediction of the Earth rotation parameters(ERP)holds paramount impor-tance for real-time applications,particularly in reference frame conversion.Among them,diurnal rota-tion(UT1-UTC)which cannot be directly estimated through Global Navigation Satellite System(GNSS)techniques,significantly affects the rapid and ultra-rapid orbit determination of GNsS satellites.Pres-ently,the traditional LS(least squares)+AR(autoregressive)and LS+MAR(multivariate autoregressive)hybrid methods stand as primary approaches for UT1-UTC ultra-short-term predictions(1-10 days).The LS+MAR hybrid method relies on the UT1-UTC and LOD(length of day)series.However,the correlation between LOD and first-order-difference UT1-UTC is stronger than that between LOD and UT1-UTC.In light of this,and with the aid of the first-order-difference UT1-UTC,we propose an enhanced LS+MAR hybrid method to UT1-UTC ultra-short-term prediction.By using the UT1-UTC and LOD data series of the IERS(International Earth Rotation and Reference Systems Service)EOP 14 C04 product,we conducted a thorough analysis and evaluation of the improved method's prediction performance compared to the traditional LS+AR and LS+MAR hybrid methods.According to the numerical results over more than 210 days,they demonstrate that,when considering the correlation information between the LoD and the first-order-difference UT1-UTC,the mean absolute errors(MAEs)of the improved LS+MAR hybrid method range from 21 to 934μs in 1-10 days predictions.In comparison to the traditional LS+AR hybrid method,the MAEs show a reduction of 7-53μs in 1-10 days predictions,with corresponding improvement percentages ranging from 1 to 28%.Similarly,when compared to the traditional LS+MAR hybrid method,the MAEs have a reduction of 5-42μs in 1-10 days predictions,with corresponding improvement percentages ranging from 4-20%.Additionally,when aided by GNSS-derived LOD data series,the MAEs of improved LS+MAR hybrid method experience further reduction.展开更多
上海新建的2台VGOS(VLBI global observing system)天线被其附近原有的大天线遮挡,为了开展VGOS站网的联合观测,提出了一种基于天线几何位置关系的地平遮挡角计算方法。根据台站相对位置、天线口径及天线参考点到边缘点的距离等参数,即...上海新建的2台VGOS(VLBI global observing system)天线被其附近原有的大天线遮挡,为了开展VGOS站网的联合观测,提出了一种基于天线几何位置关系的地平遮挡角计算方法。根据台站相对位置、天线口径及天线参考点到边缘点的距离等参数,即可得到VGOS天线的地平遮挡角。天马VGOS天线的最大遮挡角为22.3°,遮挡天区面积占5°以上天区面积的比值为2.19%;佘山VGOS天线的最大遮挡角为23.4°,遮挡天区面积占5°以上天区面积的比值为3.14%。通过在观测纲要中添加天线的地平遮挡角信息,成功实施了VGOS站网的联测。利用VieVS软件仿真分析了天马-维泽尔基线上VGOS天线的UT1测量精度,结果表明,天马VGOS天线的地平遮挡对UT1的测量精度没有显著的影响。展开更多
基于2010-2019年公开发布的国际测地/天体测量学VLBI服务组织(International VLBI Service for Geodesy and Astrometry,IVS)加强观测资料,本文对加强型UT1观测数据及快速服务产品进行了系统介绍,对不同分析中心采用的软件及解算策略进...基于2010-2019年公开发布的国际测地/天体测量学VLBI服务组织(International VLBI Service for Geodesy and Astrometry,IVS)加强观测资料,本文对加强型UT1观测数据及快速服务产品进行了系统介绍,对不同分析中心采用的软件及解算策略进行总结;在此基础上,按照“EOPI”产品中不同类型观测序列进行分类,对比分析了不同分析中心、不同观测类型的UT1-UTC结果差异。结果表明,不同分析中心的解算精度最大差异在0.02ms左右;对比不同观测类型,INT2观测解算精度优于“INT1”、“INT3”和“VLBA”观测,与IERS C04产品相比,UT1-UTC精度为0.02-0.03ms,其余EOP产品精度约0.04ms。展开更多
文摘现有的UT1-UTC预报模式在进行周期项与残差项拟合分离时,通常没有考虑最小二乘拟合序列的端部畸变现象(数据处理中称为端部效应),预报精度难以取得较大改善。针对最小二乘拟合存在的端部畸变现象,首先采用时序分析方法在UT1-UTC序列两端进行数据延拓,形成一个新序列,然后用新序列求解最小二乘外推模型系数,最后再联合最小二乘外推模型及神经网络对UT1-UTC序列进行预测。结果表明,在UT1-UTC序列端部增加延拓数据,可以有效地抑制最小二乘拟合序列的端部畸变,相对于常规的最小二乘外推模型,基于端部效应改善的最小二乘(Edge-effect Corrected Least Squares,ECLS)外推模型的UT1-UTC中长期预报精度改善明显。
基金supported by China Natural Science Fund,China(No.42004016)the science and technology innovation Program of Hunan Province,China(No.2023RC3217)+1 种基金Research Foundation of the Department of Natural Resources of Hunan Province(Grant No:20240105CH)HuBei Natural Science Fund,China(No.2020CFB329).
文摘Accurate ultra-short-term prediction of the Earth rotation parameters(ERP)holds paramount impor-tance for real-time applications,particularly in reference frame conversion.Among them,diurnal rota-tion(UT1-UTC)which cannot be directly estimated through Global Navigation Satellite System(GNSS)techniques,significantly affects the rapid and ultra-rapid orbit determination of GNsS satellites.Pres-ently,the traditional LS(least squares)+AR(autoregressive)and LS+MAR(multivariate autoregressive)hybrid methods stand as primary approaches for UT1-UTC ultra-short-term predictions(1-10 days).The LS+MAR hybrid method relies on the UT1-UTC and LOD(length of day)series.However,the correlation between LOD and first-order-difference UT1-UTC is stronger than that between LOD and UT1-UTC.In light of this,and with the aid of the first-order-difference UT1-UTC,we propose an enhanced LS+MAR hybrid method to UT1-UTC ultra-short-term prediction.By using the UT1-UTC and LOD data series of the IERS(International Earth Rotation and Reference Systems Service)EOP 14 C04 product,we conducted a thorough analysis and evaluation of the improved method's prediction performance compared to the traditional LS+AR and LS+MAR hybrid methods.According to the numerical results over more than 210 days,they demonstrate that,when considering the correlation information between the LoD and the first-order-difference UT1-UTC,the mean absolute errors(MAEs)of the improved LS+MAR hybrid method range from 21 to 934μs in 1-10 days predictions.In comparison to the traditional LS+AR hybrid method,the MAEs show a reduction of 7-53μs in 1-10 days predictions,with corresponding improvement percentages ranging from 1 to 28%.Similarly,when compared to the traditional LS+MAR hybrid method,the MAEs have a reduction of 5-42μs in 1-10 days predictions,with corresponding improvement percentages ranging from 4-20%.Additionally,when aided by GNSS-derived LOD data series,the MAEs of improved LS+MAR hybrid method experience further reduction.
文摘上海新建的2台VGOS(VLBI global observing system)天线被其附近原有的大天线遮挡,为了开展VGOS站网的联合观测,提出了一种基于天线几何位置关系的地平遮挡角计算方法。根据台站相对位置、天线口径及天线参考点到边缘点的距离等参数,即可得到VGOS天线的地平遮挡角。天马VGOS天线的最大遮挡角为22.3°,遮挡天区面积占5°以上天区面积的比值为2.19%;佘山VGOS天线的最大遮挡角为23.4°,遮挡天区面积占5°以上天区面积的比值为3.14%。通过在观测纲要中添加天线的地平遮挡角信息,成功实施了VGOS站网的联测。利用VieVS软件仿真分析了天马-维泽尔基线上VGOS天线的UT1测量精度,结果表明,天马VGOS天线的地平遮挡对UT1的测量精度没有显著的影响。
文摘基于2010-2019年公开发布的国际测地/天体测量学VLBI服务组织(International VLBI Service for Geodesy and Astrometry,IVS)加强观测资料,本文对加强型UT1观测数据及快速服务产品进行了系统介绍,对不同分析中心采用的软件及解算策略进行总结;在此基础上,按照“EOPI”产品中不同类型观测序列进行分类,对比分析了不同分析中心、不同观测类型的UT1-UTC结果差异。结果表明,不同分析中心的解算精度最大差异在0.02ms左右;对比不同观测类型,INT2观测解算精度优于“INT1”、“INT3”和“VLBA”观测,与IERS C04产品相比,UT1-UTC精度为0.02-0.03ms,其余EOP产品精度约0.04ms。
