基于Hatch滤波的改进矩阵变换法在BDS多频模糊度解算中的应用

Application of improved matrix transformation method based on Hatch filter in BDS multi frequency ambiguity resolution

长基线条件下,空间相关性弱,电离层延迟残差和噪声影响变大,致使矩阵变换法模糊度解算过程中,窄巷组合受噪声影响大,单历元模糊度解算成功率低。因此,削弱电离层残差及噪声影响可以一定程度提高模糊度解算成功率。本文在分析矩阵变换算法基础上,利用Hatch滤波有效抑制伪距测量噪声和多径效应特点,结合弱电离层、低噪声的载波组合,通过相位平滑伪距代替组合伪距值参与解算,从而削弱电离层残差及观测噪声影响。通过实测数据分析,本文算法可有效提高矩阵变换法模糊度解算成功率。

Under the condition of long baseline,the ionospheric delay and tropospheric delay cannot be eliminated well due to the weak spatial correlation between stations.As a result,the narrow lane combination is greatly affected by noise,and the success rate of single epoch ambiguity resolution is low.Therefore,weakening the ionospheric residual and noise can improve the success rate of ambiguity resolution to a certain extent.Based on the analysis of matrix transformation algorithm,this paper uses Hatch filter to effectively suppress the pseudo range measurement noise and multipath effect,combines the carrier combination of weak ionosphere and low noise,through phase smoothing pseudo range to replace the combined pseudo range value to participate in the solution,so as to weaken the ionospheric residual and the influence of observation noises.Through the analysis of measured data,this algorithm can effectively improve the success rate of ambiguity resolution of matrix transformation method.