A Method to Reduce Non-Nominal Troposphere Error.
A Method to Reduce Non-Nominal Troposphere Error.
复制标题
减少非标称对流层误差的方法
DOI：
10.3390/s17081751
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发表时间：
2017-07-31
期刊：
影响因子：
--
通讯作者：
Wang S
中科院分区：
文献类型：
--
作者：
Wang Z;Xin P;Li R;Wang S
在异常对流层条件下，地基增强系统（GBAS）无法消除对流层延迟，导致非标称对流层误差。本文分析了中国8个国际GNSS监测评估系统（iGMAS）站和10个国际GNSS服务（IGS）站的对流层气象资料，记录了2015年和2016年最严重的对流层气象条件。模拟结果表明，在非标称对流层下，所有可见卫星的垂直防护水平（VPL）平均增加2.32 m，卫星越多，VPL越高。为了提高GBAS的完整性，本文提出了一种降低对流层非标称误差的卫星选择方法。首先，根据VPL、非标称对流层误差和卫星几何形状之间的关系确定最优子集的卫星数为16颗；其次，确定最优卫星的分布。最后，在不同的高程范围内选择最优卫星。结果表明，采用该方法，非名义对流层误差引起的平均VPL增加为1.15 m。与暴力算法和贪婪算法相比，该算法的运行率分别提高了390.91%和111.65%。综上所述，该方法在最小化VPL和提高运行速率的同时，平衡了卫星几何和非标称对流层误差。
Under abnormal troposphere, Ground-Based Augmentation System (GBAS) is unable to eliminate troposphere delay, resulting in non-nominal troposphere error. This paper analyzes the troposphere meteorological data of eight International GNSS Monitoring Assessment System (iGMAS) stations and 10 International GNSS Service (IGS) stations in China and records the most serious conditions during 2015 and 2016. Simulations show that the average increase in Vertical Protection Level (VPL) of all visible satellites under non-nominal troposphere is 2.32 m and that more satellites increase the VPL. To improve GBAS integrity, this paper proposes a satellite selection method to reduce the non-nominal troposphere error. First, the number of satellites in the optimal subset is determined to be 16 based on the relationship among VPL, non-nominal troposphere error and satellite geometry. Second, the distributions of the optimal satellites are determined. Finally, optimal satellites are selected in different elevation ranges. Results show that the average VPL increase caused by non-nominal troposphere error is 1.15 m using the proposed method. Compared with the brute method and greedy method, the running rate of the proposed method is improved by 390.91% and 111.65%, respectively. In summary, the proposed method balances the satellite geometry and non-nominal troposphere error while minimizing the VPL and improving the running rate.
影响因子：
4.9
作者：
Dautermann, Thomas;Felux, Michael;Grosch, Anja
通讯作者：
Grosch, Anja
影响因子：
4.9
作者：
Wang, ZhiPeng;Macabiau, Christophe;Escher, Anne-Christine
通讯作者：
Escher, Anne-Christine