GPS精密定位数据分析和大气建模回顾与展望

Summarization of GPS Data Analysis for Accurate Positioning and Atmospheric Modeling

归纳了用于GPS数据分析的大气建模方法。由于大气分布不均和不断的变化,尤其是大气中的水汽影响,使建立无线电信号路径延迟的精确模型在GPS高精度定位中非常必要。目前的路径延迟模型是参数估计及外部修正法。建议应用数值天气预报及其分析模型,以及空间探测仪器取代映射函数直接完成静水力学路径延迟修正。Raman激光雷达可用在各种天气条件下,作更精确的湿路径延迟的外部修正,其校准可用混合GPS数据分析法解决。

The atmospheric modeling methods were reviewed in this paper. Due to the strong spatial inhomogeneity and temporal variability of atmosphere, especially water vapor , accurate modeling of path delay in GPS signals is necessary for high -accuracy position. Currently the path delay model consists in parameter estimation. Another common method is external correction. The suggestion is that numerical weather prediction and analysis models should be used to replace mapping function for performing directly hydrostatic correction. Raman lidars might be used for more accurate external wet path delay correction in any weather conditions. A hybrid GPS data analysis method can be used for calibration of these lidars.