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Testing impact of the strategy of VLBI data analysis on the estimation of Earth Orientation Parameters and station coordinates

机译:测试VLBI数据分析策略对地球方向参数和测站坐标估计的影响

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Very Long Baseline Interferometry (VLBI) is the only space geodetic technique capable to realise the Celestial Reference Frame and tie it with the Terrestrial Reference Frame. It is also the only technique, which measures all the Earth Orientation Parameters (EOP) on a regular basis, thus the role of VLBI in determination of the universal time, nutation and polar motion and station coordinates is invaluable. Although geodetic VLBI has been providing observations for more than 30 years, there are no clear guidelines how to deal with the stations or baselines having significantly bigger post-fit residuals than the other ones. In our work we compare the common weighting strategy, using squared formal errors, with strategies involving exclusion or down-weighting of stations or baselines. For that purpose we apply the Vienna VLBI Software VieVS with necessary additional procedures. In our analysis we focus on statistical indicators that might be the criterion of excluding or down-weighting the inferior stations or baselines, as well as on the influence of adopted strategy on the EOP and station coordinates estimation. Our analysis shows that in about 99% of 24-hour VLBI sessions there is no need to exclude any data as the down-weighting procedure is sufficiently efficient. Although results presented here do not clearly indicate the best algorithm, they show strengths and weaknesses of the applied methods and point some limitations of automatic analysis of VLBI data. Moreover, it is also shown that the influence of the adopted weighting strategy is not always clearly reflected in the results of analysis.
机译:超长基线干涉测量法(VLBI)是唯一能够实现天体参考系并将其与地面参考系绑定的空间大地测量技术。这也是唯一一种能定期测量所有地球方向参数(EOP)的技术,因此VLBI在确定世界时间,章动,极运动和测站坐标方面的作用非常宝贵。尽管大地测量VLBI已经提供了30多年的观测资料,但是尚无明确的指导方针来处理与其他残差相比明显更大的拟合后残差的测站或基线。在我们的工作中,我们比较常见的加权策略(使用平方误差)和涉及排除站或基线权重的策略。为此,我们将Vienna VLBI Software VieVS与必要的附加程序一起应用。在我们的分析中,我们集中于统计指标,这些指标可能是排除或降低劣等站点或基准的权重的标准,以及所采用策略对EOP和站点坐标估计的影响。我们的分析表明,在约99%的24小时VLBI会话中,由于降权程序足够有效,因此无需排除任何数据。尽管此处给出的结果并未明确指出最佳算法,但它们显示了所应用方法的优缺点,并指出了VLBI数据自动分析的一些局限性。此外,还表明,所采用的加权策略的影响并不总是能清楚地反映在分析结果中。

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