摘要
对Galileo/GPS组合系统的三种定位算法:经典最小二乘、加权最小二乘、卡尔曼滤波进行比较分析,发现组合系统的经典最小二乘法定位精度不如Galileo系统,加权最小二乘方法改进了经典最小二乘的这一缺点,定位精度比经典最小二乘方法有所提高;而卡尔曼滤波方法的定位结果最好。
This paper compares three positioning algorithms:the normal least square algorithm,the weighted least square algorithm,and the Kalman filter algorithm which are used for the Galileo/GPS combined system and finds out that the position-ing precision of the normal least square algorithm of the combined system is worse than that of the Galileo system;the weighted least square algorithm amends this problem,and the positioning precision is improved compared with the normal least square algorithm;while the positioning precision of the Kalman filter algorithm is the best.
出处
《遥测遥控》
2009年第1期7-11,共5页
Journal of Telemetry,Tracking and Command