EKF在GPS导航定位中的应用研究  

Application of EKF in GPS Navigation and Positioning

作　　者：李娟丽[1] 张兴华 颜开思[1] 

机构地区：[1]中国电子科技集团公司第二十研究所 [2]解放军68216部队

出　　处：《现代导航》2013年第1期41-44,共4页Modern Navigation

摘　　要：论文中针对GPS星座轨道参数及系统特性,建立基于伪距测量误差模型的导航定位状态方程,利用扩展卡尔曼滤波算法(EKF),对GPS定位解算精度进行仿真实验分析。仿真结果表明,EKF明显优于最小二乘算法,具有较高的滤波精度,可以更好地满足GPS用户定位精度要求。A navigation and positioning model based on pseudo range measurement error is presented according to the orbit parameters and characteristics of GPS system. GPS solution accuracy is simulated and analyzed by using Extended Kalman Filtering algorithm. The simulation result has shown that Extended Kalman Filtering （EKF） algorithm is capable of providing higher filtering accuracy, better than Least Squares algorithm. Thus, it can all the more satisfy positioning accuracy of GPS users.

关 键 词：导航定位 扩展卡尔曼滤波 最小二乘算法 

分 类 号：P228.4[天文地球—大地测量学与测量工程]