拟准检定法在TWSTFT数据预处理中的应用

摘要

Based on the basic theory of TWSTFT(two-way satellite time and frequency transfer), the mathematical model on real errors of observations is established in this paper. However, the model is rank-deficient. In order to solve this problem effectively, we introduced an algorithm of combining parameters, and applied QUAD(quasi-accurate detection of gross errors) to data pre-processing. We programmed appropriate algorithms and resolved the problem of detecting gross errors. The method has been verified to be successful by calculating and analyzing simulated data and practical measured data.%基于双向卫星时间频率传递（TWSTFT）基本原理，建立了关于观测值真误差的数学模型，该模型是秩亏的。为了有效地克服模型的秩亏问题，首先设计了参数合并算法；然后将拟准检定法（QUAD）应用到数据预处理中。设计了适当的计算流程，解决了粗差检测问题。分别用仿真和实测数据进行了验证。