An Advanced Multipath Mitigation Method Based on Trend Surface Analysis

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2020-11, Vol.12 (21), p.3601
• Main Authors: Wang, Zhiren, Chen, Wen, Dong, Danan, Zhang, Chenglong, Peng, Yu, Zheng, Zhengqi
• Format: Article
• Language: English
• Subjects: advanced trend surface analysis; Anisotropy; Data processing; Global navigation satellite system; Global positioning systems; GNSS; GPS; Independent variables; Methods; multipath hemispherical map; multipath mitigation; Noise; Occlusion; Receivers & amplifiers; Remote sensing; Satellites; Software; Spatial distribution; Statistical analysis; Surface analysis (chemical); Time series
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs12213601

Among various ways to eliminate the multipath effect in high-precision global navigation satellite system positioning, the multipath hemispherical map (MHM) is a typical multipath correction method based on spatial domain repeatability, which is suitable for not only static environments, but also some dynamic carriers, such as ships and aircraft. So, it has notable advantages and is widely used. The MHM method divides the sky into grids according to the azimuth and elevation angles of satellite, and calculates the average of the residuals within the grid points as its multipath calibration value. It is easy to implement, but it will inevitably lead to excessive or insufficient multipath correction in the grid. The trend surface analysis-based multipath hemispherical map (T-MHM) method makes up for this deficiency by performing trend surface analysis on the multipath spatial changes within the grid points. However, the effectiveness of T-MHM is limited and less capable of resisting noise interference due to the multicollinearity between the independent variables caused by the special spatial distribution of multipath sampling and the overfitting problem caused by ignoring the multipath anisotropy. Thus, we proposed an improved multipath elimination method named AT-MHM (advanced trend surface analysis-based multipath hemispherical model), which cautiously judges the occurrence of the above problems and gives corresponding solutions. This was extended to double-difference mode, which expands the scope of application. The performance of AT-MHM in GPS pseudorange multipath mitigation was verified on geodetic receiver and low-cost receiver in a strong multipath environment with high occlusion.