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Research on the accuracy of GPS baseline solution

机译:GPS基线解的精度研究

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The paper has studied the relationship between satellite number and observation time. The quality of baseline solution were influenced by many factors, such as baseline given point coordinates, the ionosphere propagation delay, the tropospheric propagation delay, satellite altitude cut-off Angle, baseline length and the length of time of observation on the influence of the baseline calculating and so on. This article mainly research satellite observations sampling rate and length of time in the role of baseline calculating. In the process of calculating GPS baseline, by calculating a baseline of the same length, it could determine the relationship between the number of satellite and the solving time. First, have selected the satellite number and observation period, and organized the data. Then, using Locus processor handles packages to solve many periods of the baseline, in every period of baseline solution, as the satellite number increasing, have recorded the change of solving time in the process. In this way, the conclusion could be generalized by calculating many baselines. When the length of the baseline was from 2 to 8 km, 5 satellites could solve the fixed solution in about 25 minutes; 6 satellites could solve the fixed solution in about 15 minutes; 7 satellites could solve the fixed solution in about 10 minutes; 8 satellites could solve the fixed solution in about 5 minutes. When the length of the baseline was from 8 to 14 km, 5 satellites could solve the fixed solution in about 25 minutes; 6 satellites could solve the fixed solution in about 20 minutes; 7 satellites could solve the fixed solution in about 15 minutes; 8 satellites could solve the fixed solution in about 10 minutes. The result showed that in the process of baseline solution, the more satellite number, the less calculating time needed.
机译:本文研究了卫星数目与观测时间之间的关系。基线解的质量受许多因素影响,例如基线给定点坐标,电离层传播延迟,对流层传播延迟,卫星高度截止角,基线长度和观察时间长度对基线的影响。计算等等。本文主要研究卫星观测的采样率和时间长度在基线计算中的作用。在计算GPS基线的过程中,通过计算相同长度的基线,可以确定卫星数量与求解时间之间的关系。首先,选择了卫星号和观测周期,并整理了数据。然后,使用Locus处理器处理程序包以解决基线的许多时段,在基线解决方案的每个时段中,​​随着卫星数量的增加,已记录了解决过程中解决时间的变化。这样,可以通过计算许多基线来概括结论。当基线长度为2至8 km时,5颗卫星可以在大约25分钟内解决固定解决方案; 6颗卫星可以在15分钟内解决固定解决方案; 7颗卫星可以在大约10分钟内解决固定解决方案; 8颗卫星可以在大约5分钟内解决固定解决方案。当基线长度为8至14 km时,5颗卫星可以在大约25分钟内解决固定解决方案; 6颗卫星可以在20分钟内解决固定解决方案; 7颗卫星可以在15分钟内解决固定解决方案; 8颗卫星可以在大约10分钟内解决固定解决方案。结果表明,在基线求解过程中,卫星数目越多,所需的计算时间越短。

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