讨论了建立动态虚拟基准站的方法及基于神经网络的虚拟基准站的结构，并对这一神经网络进行了训练。
Some problems such as the foundation of dynamic fictitious datum station, the neural network framework of fictitious datum station are discussed. The method of neural network training is described.
对大型车站、道口、大型个体工程等处则建立连续运营GPS差分基准站，采用动态差分GPS数据与其它传感器数据组合定位的方案，以提高列车定位的精度。
It is also pointed out in the thesis that when trains are running in railway line, using double receivers, fusing GPS single point position units with other locating sensors is of great value.
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