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方差分量估计在多卫星导航系统联合定位中的应用 被引量:6

Application of Robust Helmert Variance Component Estimation in GPS/BDS/GLONASS Integrated Positioning
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摘要 随着北斗卫星导航系统的逐步建成和完善,全球卫星导航系统进入多系统联合定位时代。多系统联合定位能明显增加可用卫星数量,保障定位能力。全球定位系统、格洛纳斯卫星导航系统以及北斗卫星导航系统观测值精度存在一定差异,采用赫尔默特方差分量估计确定三个系统观测值的权值比,能进一步提高定位的准确性。为同时减弱系统中较大粗差的影响,研究赫尔默特方差分量估计的抗差解在三系统联合定位中的应用。算例结果表明,此方法不仅能有效解决组合定位中的权值比问题,也能减弱观测值中粗差对定位结果的影响。当观测值含粗差时,比较使用抗差赫尔默特方差分量估计方法前后的定位误差可以得出:北(N)、东(E)、及天顶(U)三个方向上定位精度分别提高了16.5%、41.6%、81.0%。 With the Beidou navigation satellite system(BDS)gradually built and improved,global navigation satellite system(GNSS)enters an era of multi-system integrated positioning.Not only the number of available satellites can be significantly increased by the combination of multi-system positioning,but also the capability of positioning can be protected.There are some differences between the accuracy of observations of GPS,BDS,and global navigation satellite system(GLONASS).The positioning accuracy could be further improved when using the estimation of Helmert variance component to determine the reasonable ratio of weight of the observed values of the three systems.At the same time,in order to reduce the effect of larger outliers exist among observed values,the application of the robust solution estimation of Helmert variance component in GPS,GLONASS,and BDS integrated positioning is studied in this paper.Results show that not only the problems of ratio of weight in the combination of positioning can be effectively solved,but also the effects of gross errors on the results of positioning can be reduced by the estimation of robust solution of Helmert variance component.While gross errors are contained in observations,comparing the position error calculated before estimating with after estimating,the positioning precision increased by 16.5%、41.6%、81.0%in North、East、Up directions.
出处 《导航定位学报》 2013年第3期56-61,共6页 Journal of Navigation and Positioning
关键词 全球定位系统 北斗卫星导航系统 格洛纳斯卫星导航系统 伪距双差 赫尔默特方差分量估计 抗差估计 GPS BDS GLONASS double-difference pseudo-range Helmert variance component estimation robust estimation
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