This paper adapts and discusses the information criterion (IC) approach for the validation of baseline GNSS observation models in the context of outliers. Three IC methods are compared with the conventional procedure of iterative data snooping (IDS). To verify the reliability of the two considered approaches, several scenarios differing in: the magnitude and number of outliers, and the interval between measurement epochs were investigated. Generally, the IDS procedure achieved the highest rates of correct model specification when no outlier existed. However, as the number of outliers was increasing one of the IC methods was starting to achieve the highest rates.

本文采用并讨论了用于在异常值背景下验证基线 GNSS 观测模型的信息准则 (IC) 方法。三种 IC 方法与传统的迭代数据侦听 (IDS) 程序进行了比较。为了验证所考虑的两种方法的可靠性，研究了几种不同的场景：异常值的大小和数量，以及测量时期之间的间隔。通常，当不存在异常值时，IDS 程序实现了最高的正确模型规范率。然而，随着异常值数量的增加，一种 IC 方法开始达到最高的比率。