摘要
针对伪距单点定位精度低,定位结果发散等问题,该文提出一种基于卫星高度角的卡尔曼滤波相位平滑伪距方法。基于该方法利用载波相位信息对C/A码伪距进行平滑,并用最小二乘法求解用户位置。通过实测的静态和动态数据验证了该方法的可行性。结果表明:和最小二乘法比,该方法定位结果更加平滑,一定程度上提高了伪距单点定位精度。其中,静态定位水平精度提升了20.7%,垂直精度提升了15.7%,三维精度提升了16.8%;动态定位水平精度提升了27.8%,垂直精度提升了20.8%,三维精度提升了21.2%。
Aiming at the problem of low positioning accuracy and discrete positioning solutions of pseudorange single point positioning(SPP)technology,in order to improve the positioning accuracy,a phase smoothing pseudorange method with Kalman filter algorithm based on satellite elevation angle was presented to process the pseudorange observations by using the phase observations.The user location was obtained by the least squares estimation.Both static and kinematic tests for global positioning system(GPS)were conducted to assess the positioning accuracy of the new method.The results indicated that the solutions were more smooth and significantly improved the positioning by an average of 20.7%,15.7%and 16.8%using the static experimental data set,and 27.8%,20.8% and 21.2% using the kinematic experimental data set in the horizon direction,vertical direction,and three-dimensional,respectively.
作者
管庆林
樊春明
朱正平
彭飞
GUAN Qinglin;FAN Chunming;ZHU Zhengping;PENG Fei(Institute of Satellite Navigation and Spatial Information Engineering,Minjiang University,Fuzhou 350108,China;Research Center of Global Navigation Satellite System,Minjiang University&Fujian Xinghai Communication Technology Co.,Ltd.,Fuzhou 350108,China;Fujian Xinghai Communication Technology Co.,Ltd.,Fuzhou 350008,China)
出处
《测绘科学》
CSCD
北大核心
2019年第2期116-121,共6页
Science of Surveying and Mapping
基金
福建省科技厅工业引导性(重点)项目(2016H0028)
福州市科技局市校(院所)科技合作项目(2017-G-108)
关键词
定位精度
卫星高度角
卡尔曼滤波
相位平滑伪距
最小二乘法
positioning accuracy
satellite elevation angle
Kalman filter
phase smoothing pseudorange
least squares estimation
