This author introduces the principle of SSL and two kind of applied ionospheric models and compares and analyses the radial inverse tracking arithmetics based on the two kind of ionospheric models.

作者介绍了短波单站定位机理和两种实用的电离层模型，并对基于这两种电离层模型的射线反跟踪算法进行了分析比较。

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Abstract : To effectively evaluate the tracking ability of a photoelectric theodolite, a new tracking error model based on the Radial Basis Function(RBF) neural network was established.

摘要 ： 提出了一种基于径向基函数（RBF）神经网络建立光电经纬仪等效跟踪误差模型的方法来评价光电经纬仪的跟踪性能。

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