基于IMM的传感器融合算法在列车定位系统中的应用

2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) Pub Date : 2020-09-14 DOI:10.1109/MFI49285.2020.9235250

Süleyman Fatih Kara, Burak Basaran

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引用次数: 0

摘要

列车定位系统在铁路信号系统中起着至关重要的作用，它对铁路领域的安全和经济运行有着重要的影响。在本文中，我们提出了一种利用转速表、多普勒雷达和磁定位传感器(又名标签)的列车定位系统的解决方案。采用基于IMM(交互多模型)滤波的传感器融合算法，利用上述传感器计算列车的速度和位置。该算法是与SCADE(安全关键应用开发环境)一起开发的，SCADE是一种经常用于安全关键系统开发的工具，因为它大大简化并加速了EN 50128所需的认证过程。

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An Application of IMM Based Sensor Fusion Algorithm in Train Positioning System

With their serious impact on the safe and economic operation of railway domains, train positioning systems play a crucial part in railway signalling. In this paper, we present a solution for such a train positioning system by making use of a tachometer, a Doppler radar and a magnetic positioning sensor (a.k.a tag). An IMM (Interacting Multiple Model) filter based sensor fusion algorithm has been used to calculate the velocity and position of the train using the above sensors. The algorithm has been developed with SCADE (Safety Critical Application Development Environment) which is a tool frequently used for development in safety-critical systems because it drastically simplifies and accelerates the certification process required of EN 50128.

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2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

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