摘要：

列车的测速定位是提高列车运行安全及运输效率的关键技术。为此，根据国内外研究发展现状，提出一种基于嵌入式多传感器信息融合的列车测速定位系统。通过轮轴速度传感器、多普勒雷达速度传感器、加速度计和查询应答器采集列车的状态信息，并在嵌入式系统中利用联邦Kalman滤波及融合技术对信息进行处理，实现测速轮径的自适应校正以及空转/滑行的检测与补偿，减小由于车轮磨损、空转、滑行、环境等因素造成的列车测速定位误差。Matlab仿真结果表明，该系统能够有效提高列车测速定位的精度。

关键词: 嵌入式, 信息融合, 多传感, 列车, 测速, 定位

Abstract:

Train speed detection and positioning are key technologies for improving the safety and efficiency of train operation. According to the domestic and foreign research in this field, a train detection and positioning system is designed based on embedded processor and multi-sensor information fusion. An axle speed sensor, a Doppler radar speed sensor, an acceleration sensor and query bails are employed to collect train status information. Federal Kalman filtering and the multi-sensor information fusion method are used to process these information in an embedded system. Problem of errors caused by train wheel diameter wearing, idling, sliding and other factors in tradition system is solved. Simulation results in Matlab show that the system can effectively improve the precision of train speed detection and positioning.

Key words: embedded, information fusion, multi-sensor, train, speed detection, positioning

中图分类号: 

• U231.7