基于EKF的智能拖拉机组合导航系统研究

Research on Integrated Navigation System of Intelligent Tractor Based on EKF

针对智能拖拉机的导航系统在长时间工作状态中经常会出现定位精度低的问题,提出一种采用扩展卡尔曼滤波法(EKF)设计BDS/DRS组合导航,利用MATLAB软件建立EKF模型,并对BDS/DRS组合导航系统进行仿真验证,结果表明与传统的单独导航相比,设计的组合导航能够明显提高定位精度,同时也证明了EKF方案具有良好的数据融合效果。

Aiming at the low positioning accuracy of intelligent tractor navigation system in the long working state,this paper proposes an Extended Kalman Filter(EKF)method to design BDS/DRS combined navigation and uses MATLAB software to establish an EKF model.The simulation results of the BDS/DRS combined navigation system show that compared with the traditional single navigation,the combined navigation can obviously improve the positioning accuracy,and also prove that the EKF method has a good data fusion effect.