现代导航
現代導航
현대도항
MODERN NAVIGATION
2013年
1期
41-44
,共4页
导航定位%扩展卡尔曼滤波%最小二乘算法
導航定位%擴展卡爾曼濾波%最小二乘算法
도항정위%확전잡이만려파%최소이승산법
Navigation and Positioning%Extended Kalman Filtering%Least Squares Algorithm
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.
論文中針對GPS星座軌道參數及繫統特性,建立基于偽距測量誤差模型的導航定位狀態方程,利用擴展卡爾曼濾波算法(EKF),對GPS定位解算精度進行倣真實驗分析.倣真結果錶明,EKF 明顯優于最小二乘算法,具有較高的濾波精度,可以更好地滿足 GPS 用戶定位精度要求.
논문중침대GPS성좌궤도삼수급계통특성,건립기우위거측량오차모형적도항정위상태방정,이용확전잡이만려파산법(EKF),대GPS정위해산정도진행방진실험분석.방진결과표명,EKF 명현우우최소이승산법,구유교고적려파정도,가이경호지만족 GPS 용호정위정도요구.
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.