| 基于多传感器信息融合的列车定位方法研究 |
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| 引用本文： | 康随武,刘晓娟.基于多传感器信息融合的列车定位方法研究[J].铁路计算机应用,2014,23(1):14-17. |
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| 作者姓名： | 康随武 刘晓娟 |
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| 作者单位： | 兰州交通大学电子与信息工程学院,兰州,730070 |
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| 摘 要： | 针对城市轨道交通中列车定位问题,提出了一种基于联邦卡尔曼滤波器的多传感器信息融合列车定位方法,建立了GPS/IPS/DR信息融合模型,对GPS/IPS/DR组合的信息融合定位进行了MATLAB仿真,结果表明,GPS/IPS/DR融合定位能提高列车的定位精度和可靠度,能很好的抑制传统列车定位中的积累误差.
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| 关 键 词： | 列车定位 多传感器信息融合 联邦卡尔曼滤波器 定位精度 |
| 收稿时间： | 2014-01-15 |
Research on train location method based on multi-sensor information fusion |
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| KANG Suiwu,LIU Xiaojuan.Research on train location method based on multi-sensor information fusion[J].Railway Computer Application,2014,23(1):14-17. |
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| Authors: | KANG Suiwu LIU Xiaojuan |
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| Institution: | ( School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China ) |
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| Abstract: | Due to the problem of train location in Urban Transit, a kind of train locating method of multi- sensor information fusion based on Federal Kalman Filter was proposed, GPS/IPS/DR information fusion model was established. The train location of information fusion of GPS/IPS/DR was simulated by MATLAB. The simulating results showed that GPS/IPS/DR integration could improve the accuracy and reliability of train location, restrain the error accumulation of traditional location method. |
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| Keywords: | train location multi-sensor information fusion Federal Kalman Filter location accuracy |
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