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针对电离层延迟误差目前是GNSS导航定位精度最重要误差源的现状,通过GNSS参考站或跟踪站实测数据计算电子总含量值,建立区域电离层模型,监测区域电离层变化,进而找到削弱或消除电离层延迟误差影响方法。利用曲面拟合实现建模,在模型的建立过程中通过对不同的模型阶数进行设置,对比不同情况下的模型精度,从而确定特定区域内最佳数据采样间隔及阶数设置,并在最佳阶数设置情况下,比较了预报不同时段的精度,进而对延迟量预报问题进行探讨,得出一些有益结论。可以通过该模型单独解算流动站站点的实时电离层延迟信息,这对多基站CORS的站间距离选择和单基站CORS基准站和流动站之间距离设计,尤其对提高单频接收机以及GIS产品用户的定位精度和差分模型的覆盖范围都具有实际参考意义。
Aiming at the present situation that the ionospheric delay error is the most important error source for GNSS navigation and positioning accuracy, the total electron content is calculated from the measured data of GNSS reference station or tracking station, a regional ionospheric model is established to monitor the ionospheric changes in the region, and then weakened or eliminated Influence of ionospheric delay error. Using surface fitting to achieve the modeling, setting up different model orders in the process of establishing the model, comparing the precision of the model in different situations so as to determine the optimal data sampling interval and order setting in a specific region, and at the most In the case of good order setting, the accuracy of forecasting in different periods is compared, and then the issue of delay forecasting is discussed. Some useful conclusions are drawn. This model can be used to solve the real-time ionospheric delay information of rover stations separately, which can be used to select the distance between multi-stations CORS and the distance between single-station CORS reference station and rover, especially for single-frequency receiver and GIS Product positioning accuracy of users and the coverage of the differential model has a practical reference value.