Galileo系统动态滤波的研究

Kinematic Filtering of Galileo System

提出一种Galileo动态定位滤波的方法。该方法从Galileo系统接收机输出的定位结果入手,将各种误差因素的影响等效为一个总误差,对Galileo系统接收机的机动载体加速度采用当前统计模型,利用线性卡尔曼滤波器进行动态定位数据的处理,并将次优加权自适应卡尔曼滤波算法应用到Galileo系统动态定位中。该模型简单,实时性好,滤波后定位精度得到提高。

A kinematic filtering method of Galileo positioning is proposed. Based on the thought that the various errors caused by different error sources can be equivalent to the total error of positioning results from the Galileo receiver and by means of a current statistical model for estimating maneuvering targets, a linear Kalman filtering model to process kinematic positioning data is built. An effective suboptimal adaptive Kalman filtering algorithm is used in Galileo kinematic positioning. The model is simple and has good real-time performance, and the positioning accuracy is improved.