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Galileo/GPS系统组合导航的定位算法研究 被引量:4

Study on Positioning Algorithm for the Combined Galileo/GPS System
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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.
作者 马瑞 马颖莉
出处 《遥测遥控》 2009年第1期7-11,共5页 Journal of Telemetry,Tracking and Command
关键词 Galileo/GPS组合系统 定位算法 经典最小二乘 加权最小二乘 卡尔曼滤波 Galileo/GPS combined system Positioning algorithm Normal least square Weighted least square Kalman Filter
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