基于附加模糊度参数的卡尔曼滤波模型──GNSS动态载波相位测量的数据处理方法之三

A Calman Filter Model Based on the Additional Ambiguity Parameters——Data Processing Method on GNSS Kinematic Carrier Phase Measurements(3)

基于附加模糊度参数的卡尔曼滤波模型,是一种获得较高的GNSS动态定位精度的数据处理方法,本文论述了它的基本数学模型。并进行了实际验算。

The Calman flter model based on the additional ambiguity parameters is a data processing method to get the high accuracy of GNSS kinematic positioning. This paper discusses its basic mathematical model, and the actual calculation was carried out.