动态映射函数对GPS基线解算质量的影响

Influence of Dynamic Mapping Functions on GPS Baseline Quality

介绍尼尔映射函数(NMF)、维也纳映射函数(VMF1)和全球映射函数(GMF)3种常用映射函数,讨论评估GPS基线质量的2个指标——基线重复性和平均值的标准偏差。根据中国境内IGS站的观测数据,基于GAMIT软件的数据处理结果,研究3种映射函数对GPS基线重复性和平均值标准偏差的影响。结果表明,在进行GPS基线处理时,动态映射函数的解算精度比经验映射函数要高,其中VMF1模型在解算基线重复性时结果更好,而GMF模型在计算平均值的标准偏差时效果更佳。

Three kinds of mapping functions such as Neill mapping function （NMF）, Vienna mapping function1 （VMF1） and global mapping function （GMF） are introduced in this paper. The two indexes： baseline repeatability and standard deviation of the mean value for GPS baseline quality assessment, are discussed. According to the observation data of the IGS station in China, the data processing results based on GAMIT are used to research and analyze the influence of these three kinds of mapping functions on GPS baseline repeatability and standard deviation of the mean value. The results show that the calculation accuracy of dynamic mapping functions is higher than empirical mapping funetionsin GPS baseline processing. In the solution of baseline repeatability, the VMF1 model is better than GMF model, but the GMF model is better in calculation of standard deviation of the mean value.