多传感器信息融合的列车定位方法研究

摘要

Due to using single sensor is difficult to achieve high accuracy and reliability in train location system. So in the paper the method of train location based on multi- sensor information fusion is proposed. This paper introduces the structure of multi - sensor information fusion and sets up mathematical model of federated kalman filting. Then the INS/GPS/DVS integrated navigation system is simulated with Matlab. Computer simulation results show that, multi - sensor information fusion can improve accuracy and reliability of the train location,which is more suitable for train location in the train rail traffic.%提出了多传感器信息融合的列车定位方法.介绍了多传感器信息融合结构及联邦卡尔曼滤波算法模型.对INS/GPS/DVS组合导航进行了Matlab仿真,结果表明,多传感器信息融合的列车定位方法能提高列车的定位精度和可靠度,更适合于城市轨道交通中的列车定位.