电子科技大学学报Issue(1)：87-91,5.DOI:10.3969/j.issn.1001-0548.2013.01.019
磁浮列车测速定位中的信息融合研究
Information Fusion Research in Maglev Train Velocity and Position Detection
摘要
Abstract
In this paper, information filtering fusion theory is introducted into the field of low-speed maglev train speed and position detection. Beside the cross induction coil, radar speed sensors and balise are also adopted. The relative positioning is realized by the radar and cross induction coil, and the absolute positioning is realized by the balise. The information fusion comes true by this way. The accuracy and reliability of speed and position detection can be significantly improved. The final conclusion is verified by MATLAB simulation.关键词
信息融合/卡尔曼滤波/测速定位/联邦卡尔曼滤波器Key words
information fusion/Kalman filter/speed and position detection/the federal Kalman filter分类
交通工程引用本文复制引用
李晓龙,刘锡良,史黎明..磁浮列车测速定位中的信息融合研究[J].电子科技大学学报,2013,(1):87-91,5.基金项目
国家科技支撑计划(2009BAG11B02) （2009BAG11B02）
