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Train Speed Measurement and Position Identification Approach Based on Confidence Interval

机译:基于置信区间的列车速度测量与位置识别方法

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The paper designs an integrated positioning architecture by coded odometer and Doppler radar and analyzes their error sources. Confidence interval of train safety positioning is identified based on the analysis. Kalman filter is used to diagnose abnormal output from coded odometer and Doppler radar. Safety comparator is used to identify the reliability of confidence interval. The experimental results show that the proposed method can effectively keep the efficiency and safety of train positioning when the train is in slipping state.
机译:本文通过编码里程表和多普勒雷达设计了一种集成的定位架构,并分析了它们的误差源。通过分析确定列车安全定位的置信区间。卡尔曼滤波器用于诊断编码里程表和多普勒雷达的异常输出。安全比较器用于确定置信区间的可靠性。实验结果表明,所提出的方法可以有效地保持列车在滑行状态下的定位效率和安全性。

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