一种基于GPS/BDS观测值的抗多路径误差导航定位算法  

A Multipath Reduction Algorithm Based on GPS/BDS Measurements

作　　者：尹潇[1] 胡丛玮[2] 姚连璧[2] 康传利[3] 

机构地区：[1]山东电力工程咨询院有限公司,济南市闵子骞路106号250013 [2]同济大学测绘与地理信息学院,上海市四平路1239号200092 [3]桂林理工大学测绘地理信息学院,桂林市雁山街319号541006

出　　处：《大地测量与地球动力学》2017年第5期457-461,共5页Journal of Geodesy and Geodynamics

基　　金：国家863计划(2013AA12A206);国家自然科学基金(40671155)~~

摘　　要：提出一种抑制卫星导航定位中多路径误差的算法,采用双卫星系统GPS/BDS的伪距和多普勒观测值,增加了观测值数据的有效性,结合抗差自适应卡尔曼滤波模型,减弱了城市稠密建筑中卫星导航定位多路径误差对定位的影响。城市车载实验结果显示,与GPS单系统伪距定位相比,采用GPS/BDS伪距定位,点位精度由4.9m提高到4.3m;采用本文算法,点位精度进一步提高到3.4m,验证了本文算法的有效性。With pseudorange and Doppler observations of BDS/BDS, the availability of observations is enhanced. In addition, combined with the robust adaptive Kalman filter, the multipath errors caused by high buildings in urban areas can be efficiently reduced and thus the accuracy and reliability of satellite navigation is improved. Results from a car driving test show that position error is reduced from 4.9 m to 4.3 m with GPS and GPS/BDS point positioning respectively. When the robust filter method is adopt- ed, the position error has been further reduced from 4.3 m to 3.4 m.

关 键 词：GPS/BDS 多普勒 自适应滤波 实时动态 

分 类 号：P228[天文地球—大地测量学与测量工程]