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Improving performance of GPS satellite DCB estimation for regional GPS networks using long-term stability

机译：使用长期稳定性提高区域GPS网络GPS卫星DCB估计的性能

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AbstractCompensation for differential code bias (DCB) is necessary because it is the major source of errors in total electron content (TEC) measurements. The DCB estimation performance is degraded when only the regional GPS network is used. Because DCB estimation is highly correlated with ionospheric modeling, this degradation is particularly evident for measurements concentrated in an area of high TEC concentration. This study proposes a DCB estimation method that uses the long-term stability of the DCB to improve the estimation performance of the regional GPS network. We estimate satellite DCBs by assuming their constancy over seven months. This extended period increases the number of measurements used in DCB estimation and changes the local time distribution of collected measurements. As a result, the unbalanced distribution of specific ionospheric conditions disappears. Tests are performed using both global and regional networks, and the estimation performance is evaluated based on the position error and pseudorange residuals. First, the difference between the global and regional networks when using the conventional method is analyzed. Second, proposed methods are applied to regional networks. The proposed method can improve the DCB estimation performance, and the results are similar to those obtained using one-day global network data.
机译：<标题>抽象 ara id =“par4”>差分码偏差补偿（DCB）是必要的，因为它是总电子含量（TEC）测量中的主要误差来源。当使用区域GPS网络时，DCB估计性能降低。因为DCB估计与电离层模拟高度相关，所以该降解尤其明显，用于测量集中在高TEC浓度的面积中。本研究提出了一种使用DCB的长期稳定性来提高区域GPS网络的估计性能的DCB估计方法。我们通过假设七个月超过七个月来估计卫星直流。该延长期增加了DCB估计中使用的测量次数，并改变收集测量的局部时间分布。结果，特定电离层条件的不平衡分布消失。使用全局和区域网络进行测试，并且基于位置误差和伪距离残差来评估估计性能。首先，分析了使用传统方法时全局和区域网络之间的差异。其次，所提出的方法适用于区域网络。所提出的方法可以提高DCB估计性能，结果类似于使用单日​​全局网络数据获得的结果。

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