基于地基GNSS和COSMIC掩星观测资料的区域电离层模型精化方法

精确的电离层模型对研究电离层活动和改善导航定位精度具有十分重要的意义。由于观测资料的时空分辨率十分有限，严重制约了电离层建模精度。本项目综合集成地基GNSS所提供的观测数据以及COSMIC掩星观测资料，设计实现有效的融合方法；分析研究多项式函数、低阶球谐函数和广义三角级数函数对区域电离层模型精度的影响规律，提出加权最小二乘的多元自适应回归样条WLS-MARS电离层TEC模型，构建精确的区域电离层模型。并针对江西地区的区域电离层模型精化开展原型实验研究。本项目成果旨在有效的构建精确区域电离层模型，拓展电离层认知理论及其在卫星导航定位中的应用潜力。

The precise ionospheric model is very important for studying the ionospheric activity and improving the accuracy of navigation and positioning. Due to the limited temporal and spatial resolution of the observed data, the accuracy of ionospheric modeling is seriously restricted. The project integrates the observations provided by the global navigation satellite system (GNSS) and the constellation observing system for meteorology ionosphere and climate (COSMIC) occultation observations，and designs and implements the effective fusion method. The influence of polynomial function, low-order spherical harmonic function and generalized triangular series function on the accuracy of regional ionospheric model is studied, and the weighted least squares multi-adaptive regression spline (WLS-MARS) ionospheric TEC model is proposed to construct an accurate regional ionospheric model. And the prototyping experiments are carried out for the regional ionospheric model refinement in Jiangxi area. The project aims to effectively build an accurate regional ionospheric model, expand the ionospheric cognitive theory and its application in satellite navigation and positioning potential.