球面多路径格网的恒星日滤波算法及其在PPP中的应用

Sidereal Filtering Based on Sphere Multipath Stacking and Its Application in PPP

摘要: 针对传统的观测值域恒星日滤波在卫星精密单点定位（precise point positioning，PPP）应用中存在的问题，提出球面多路径格网的恒星日滤波算法并应用到静态PPP中，设计了确定格网大小的统计方法，给出了算法的实施步骤。利用全球分布的10个IGS监测站接收的GPS卫星实测数据进行了试验验证，结果表明，本文算法能够明显削弱地面连续运行监测站载波相位观测量的多路径误差；应用本文算法后，1~3 h的静态PPP定位精度得到明显提高，E、N、U三方向RMS分别提高41.59%、38.60%、36.96%。

Abstract: Sidereal filtering (SF) is applied to reducing the error of static station observation caused by multipath. However, SF based on observation domain has some problems when used for static precise point positioning (PPP). Hence, an adapted algorithm named sphere multipath stacking (SMPS) is proposed and applied to PPP. The process of SMPS algorithm and the statistical algorithm that choose the appropriate cell size are presented in this paper. The experiment result that utilizes the data from 10 IGS stations shows that SMPS algorithm can reduce the multipath error of GNSS carrier phase observation and the accuracy of 1-3 hours positioning result improves clearly. The positioning accuracy improvement ratios of E, N, U directions are 41.59%, 38.60%, and 36.96%, respectively.