摘要
针对Galileo系统提出扩展卡尔曼滤波器算法。该算法从Galileo接收机输出的定位结果入手,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。本模型简单,实时忡好,滤波后定位精度得到提高。仿真结果证明该模型是有效的。
An extended Kalman filter algorithm applied in Galileo is proposed in this paper. On the basis of positioning results from the Galileo receiver and by means of a current statistical model, a linear extended Kahnan filtering model to process kinematic positioning data is built. This filter is simple, and brings better real-time ability and higher filtering accuracy, and is proven to be efficient by simulation .
出处
《电子测量技术》
2006年第1期50-51,共2页
Electronic Measurement Technology
