Complex Demodulation in Monitoring Earth Rotation by VLBI: Testing the Algorithm by Analysis of Long Periodic EOP Components

IF 0.7 Q4 ASTRONOMY & ASTROPHYSICS
A. Wielgosz, A. Brzeziński, S. Böhm
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引用次数: 2

Abstract

Abstract The complex demodulation (CD) algorithm is an efficient tool for extracting the diurnal and subdiurnal components of Earth rotation from the routine VLBI observations (Brzeziński, 2012). This algorithm was implemented by Böhm et al (2012b) into a dedicated version of the VLBI analysis software VieVs. The authors processed around 3700 geodetic 24-hour observing sessions in 1984.0-2010.5 and estimated simultaneously the time series of the long period components as well as diurnal, semidiurnal, terdiurnal and quarterdiurnal components of polar motion (PM) and universal time UT1. This paper describes the tests of the CD algorithm by checking consistency of the low frequency components of PM and UT1 estimated by VieVS CD and those from the IERS and IVS combined solutions. Moreover, the retrograde diurnal component of PM demodulated from VLBI observations has been compared to the celestial pole offsets series included in the IERS and IVS solutions. We found for all three components a good agreement of the results based on the CD approach and those based on the standard parameterization recommended by the IERS Conventions (IERS, 2010) and applied by the IERS and IVS. We conclude that an application of the CD parameterization in VLBI data analysis does not change those components of EOP which are included in the standard adjustment, while enabling simultaneous estimation of the high frequency components from the routine VLBI observations. Moreover, we deem that the CD algorithm can also be implemented in analysis of other space geodetic observations, like GNSS or SLR, enabling retrieval of subdiurnal signals in EOP from the past data.
VLBI地球自转监测中的复杂解调:基于长周期EOP分量分析的算法检验
复杂解调(CD)算法是一种从常规VLBI观测中提取地球自转日和亚日分量的有效工具(Brzeziński, 2012)。该算法由Böhm等人(2012b)在VLBI分析软件viev的专用版本中实现。作者处理了1984.0-2010.5年约3700次大地24小时观测,同时估计了极动(PM)和世界时UT1的长周期分量以及日、半日、日、四分之一日分量的时间序列。本文通过检验VieVS CD估计的PM和UT1的低频分量与IERS和IVS组合解估计的PM和UT1的低频分量的一致性,对CD算法进行了测试。此外,将VLBI观测解调的PM的逆行日分量与IERS和IVS解决方案中包含的天体极差序列进行了比较。我们发现,对于所有三个组成部分,基于CD方法的结果与基于IERS公约(IERS, 2010)推荐并由IERS和IVS应用的标准参数化的结果非常一致。我们得出结论,在VLBI数据分析中应用CD参数化不会改变标准调整中包含的EOP分量,同时可以从常规VLBI观测中同时估计高频分量。此外,我们认为CD算法也可以应用于GNSS或SLR等其他空间大地测量数据的分析,从而从过去的数据中检索EOP的次日信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.00
自引率
11.10%
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