Design of Train Speed and Position System Based on Multi-Sensor Fusion Technology

被引：0
|
作者：
Guo Huazhen [1 ]
Jiang Daming [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
来源：
ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING | 2012年 / 19卷
关键词：
Integrated positioning system; Adaptive Kalman filter; Velocity sensor; INS; ODO;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
After analyzing the weakness of traditional train single-sensor speed and position system, this paper designs a platform of INS/ODO/velocity sensor/Balise integration train speed and position system which is based on multi-sensor fusion technology. The system combines hardware and software platform. The adaptive Kalman filter is selected to process the measurement data. The experiment results demonstrate the platform can improve the train positioning accuracy and reliability in comparation with former system.
引用
收藏
页码：491 / 495
页数：5
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