一种基于运动模型和惯导陀螺仪的列车定位方法

A Positioning Method Based on Train Motion Model and Inertial Gyroscope

GPS/BD定位是列车定位的主要方法之一。为解决卫星信号丢失时的定位问题,文章提出一种基于列车运动模型和惯导陀螺仪,并利用Kalman滤波算法进行优化处理的卫星信号盲区列车定位方法。仿真验证结果表明,采用该方法,有卫星信号时,能提高定位精度;卫星信号丢失时,能够在一定时间内给出较高精度的定位结果。

GPS/BD positioning is one of the main solution of train positioning.In order to solve the problem of satellite signal loss,this paper proposed a train positioning method in satellite signal bind zone based on the train motion model and the inertial gyroscope,and a Kalman filter to optimize the processing.The simulation results show that the proposed method can improve the positioning accuracy when the satellite signal is available,and the positioning results with higher accuracy can be obtained in a certain time when the satellite signal is lost.