一种利用方差分量估计的BDS卫星定轨算法  

Helmert variance component estimation of BDS satellite orbit determination and algorithm improvement

作　　者：祖安然 宋力杰[2] 王琰[2] 李中全 

机构地区：[1]北京卫星导航中心 [2]信息工程大学地理空间信息学院 [3]78138部队

出　　处：《测绘科学》2016年第11期35-39,共5页Science of Surveying and Mapping

基　　金：地理信息工程国家重点实验室开放研究基金项目(SKLGIE2015-M-2-1)

摘　　要：针对采用Helmert方差分量估计的方法来调节BDS不同类型卫星之间的权比时,出现的区域站MEO卫星观测值数量少、卡尔曼滤波开始阶段不稳定等问题,提出了一种待滤波稳定后再进行Helmert方差分量估计的改进算法。该算法可以根据卫星类型以及它们的数目,自适应地采取不同的策略。基于BDS观测数据的实验结果表明,采用改进的Helmert方差分量估计方法进行BDS卫星卡尔曼滤波定轨,提高了BDS卫星轨道平均径向精度。Using Helmert variance component estimation methods to adjust weights among observa- tion data of different types of satellites in the BDS faces the constraints of lacking regional observation data of MEO satellites and instability in the starting phase of Kalman filter. This paper proposes an improved al- gorithm which uses Helmert variance component estimation until reaching stable state after filtering. This algorithm can adaptively adopt different strategies according to the types of satellites and their num- bers. The experimental results based on the BDS observation data show that the improved Helmert vari- ance component estimation method improves the average accuracy of BDS satellite orbit radial.

关 键 词：北斗卫星导航系统 HELMERT方差分量估计 随机模型 卡尔曼滤波 定轨 

分 类 号：V556.8[航空宇航科学与技术—人机与环境工程]