一种基于多普勒频移重构的GNSS定位算法

A GNSS Positioning Algorithm Based on Doppler Shift Reconstruction

多普勒频移重构的GNSS定位算法是指通过重构多普勒频移解决观测信号异常问题,配合基于垂直仰角选择的互差加权法,在观测信号质量不佳的情况下解算出整周模糊度,得到较高的整周模糊度正确估计率。结果表明,在卫星冗余程度低的静态情形下,该算法能够达到100%的模糊度固定率和cm级精度;在动态情形下,E、N、U方向的精度分别为0.6790 m、0.0529 m、0.0228 m,精度与传统的RTK定位持平,但模糊度固定率提高了26.38百分点。

GNSS positioning algorithm based on Doppler shift reconstruction solves the problem of abnormal observation signal by reconstructing Doppler shift.Combined with the cross difference weighting method based on vertical elevation selection,we solve the integer ambiguity under the condition of poor observation signal quality,and obtain a high correct estimation rate of integer ambiguity.The results show that the algorithm can achieve 100%ambiguity fixed rate and cm accuracy in the static case of low satellite redundancy.In the dynamic case,the accuracies of E,N and U directions are 0.6790 m,0.0529 m and 0.0228 m respectively,which are the same as the traditional RTK Positioning,and the fixed ambiguity is increased by 26.38 percentage points.