摘要
提出了一种基于卫星定位和航位推算(Dead Reckoning,DR)技术的低成本高速列车组合定位系统设计方案。在卫星定位系统中,方案采用了GPS/BD双卫星定位系统;在航位推算系统中,提出了一种双加速度计单陀螺仪单倾角传感器的传感器组合方案;采用了双CPU结构体系的运算控制模块,提高了组合导航系统的可靠性和实时运算性能。通过基于"当前"统计模型的联合卡尔曼滤波算法对GPS/BD系统和航位推算的数据进行滤波和信息融合,并利用卫星接收机提供的位置精度因子进行信息融合方案的自适应选择,进一步提高和完善了组合导航系统的定位精度和系统性能。
Based on satellite positioning and Dead Reckoning （DR）,a kind of low-cost high speed train integrated positioning system design is proposed.When considering the satellite positioning system; When considering Dead Reckoning （DR） system,an sensor combination plan based on biaxial accelerometer and single gyroscope and tilt sensor is put forward; Besides,the double CPU structure system is applied in the operation control module,which enhances the reliability and real time operation performance of the integrated navigation system.To further enhance and improve the positioning accuracy and system performance of the Integrated Navigation System,the data of GPS/BD and Dead Reckoning （DR） system is Smoothed and fused by the Federal Kalman filter algorithm based on ＂Current＂ statistical model,And further adaptive selection of information fusion scheme is conducted by using the Position Dilution of Precision （PDOP） provided by the satellite receiver.
出处
《电子测量技术》
2014年第9期28-31,共4页
Electronic Measurement Technology
基金
教育部重大(313049)
铁道部重大(2012X004-A)项目
作者简介
肖辰彬，1988年出生，硕士研究生，主要研究方向为物联网关键技术。E—mail：xiaoya0430@126．com
