基于粒子滤波算法信息融合的磁悬浮列车定位研究  

Maglev Train Position Detection Based on Information Fusion of Particle Filter Algorithm

作　　者：熊春红[1] 李晓龙[1] 韩静茹[1] 

机构地区：[1]同济大学铁道与城市轨道交通研究院,上海201804

出　　处：《华东交通大学学报》2015年第3期12-15,113,共5页Journal of East China Jiaotong University

基　　金：国家科技支撑计划项目(2013BAG19B01)

摘　　要：为提高磁悬浮列车的行车安全和效率,采用多传感器信息融合技术对中低速磁悬浮列车进行测速定位,以交叉感应回线测速定位和雷达传感器对进行相对定位,以查询应答器来实现绝对定位。利用粒子滤波算法对中低速磁悬浮列车测速定位的精度和可靠性进行分析,并用MATLAB仿真进行验证,证明该融合结构和融合算法能够提高列车的定位精度。In order to improve the operation safety and efficiency of the maglev train, multi-sensor information fusion technology is adopted in low-speed maglev trains speed positioning. The relative positioning is realized by the radar and cross induction coil, and the absolute positioning is conducted by the balise. Particle filter algorithm is used to analyze the low-speed maglev train speed positioning accuracy and reliability, and MATLAB simulation is then adopted to verify the results. It maintains that the fusion structure and fusion algorithm effectively improve the positioning accuracy of the train by exploring the error effect caused by random noise.

关 键 词：信息融合 测速定位 粒子滤波 查询应答器 

分 类 号：U237[交通运输工程—道路与铁道工程]