基于三维移动变形平台的GPS/BDS中长基线解算性能分析

Performance Analysis of Medium-Long Baseline Solution in GPS/BDS System Based on 3D Mobile Deformation Platform

针对中长基线解算测站间的大气误差无法通过双差完全消除、影响模糊度的固定与精度的问题,在得到宽巷模糊度后,利用Kalman滤波算法对 L 1、B 1 基频模糊度进行估计,并使用LAMBDA算法确定基频模糊度。以三维移动变形平台中长基线实测数据为例,解算GPS、BDS、GPS/BDS系统3种模式下的数条中长基线。总体而言,GPS/BDS组合系统较单GPS、BDS系统精度有所提升,GPS/BDS组合系统各基线固定率、正确率优于82.08%、81.53%, X、Y、Z、 3D方向的精度可达15.4 mm、15.9 mm、20.1 mm、30.0 mm;20.8 km、 46.6 km基线三维移动变形中误差分别优于18.8 mm、22.5 mm,相对中误差分别优于 1/71.9、 1/60.1。

In the middle-long baseline solution, the atmospheric error between stations cannot be completely eliminated by double difference, which affects the fixing and precision of ambiguity. After obtaining the wide lane ambiguity, this paper uses a Kalman filter algorithm to estimate the ambiguity of L 1 and B 1 fundamental frequency, and uses LAMBDA algorithm to determine the ambiguity. Taking the medium-long baseline measured data of three-dimensional mobile deformation platform as an example, several long and medium baselines under three modes of GPS, BDS and GPS/BDS are calculated. Overall, the precision of GPS/BDS integrated system is improved to a certain extent, as compared with single GPS and single BDS. The fixing and correction rates of each baseline of GPS/BDS integrated system are better than 82.08% and 81.53%, the precision of X, Y, Z can reach 15.4 mm, 15.9 mm and 20.1 mm, and the 3D direction accuracy can be better than 30.0 mm. In 20.8 km and 46.6 km baselines, the median errors can be better than 18.8 mm and 22.5 mm respectively, and the relative median errors are better than 1/71.9 and 1/60.1 respectively.