摘要
首先介绍了常用的车辆定位技术 GPS和航位推测法 (DR) ,并分析各自的优缺点 ,然后提出用卡尔曼滤波 (Kalman)技术来实现 GPS和惯性传感器的组合定位。
In this paper,Global Positioning System (GPS) and Dead Reckoning (DR) for vehicle location are introduced firstly,their advantages and disadvantages are analyzed respectively.Then Kalman filter is proposed to be used for integrating GPS and inertial sensors.
出处
《铁道通信信号》
北大核心
2001年第2期39-42,共4页
Railway Signalling & Communication
