Abstract: In response to the computational resource consumption challenge associated with fixed-resolution multi-point hemispherical grid model MHGM. A method for adaptive grid division of the station's hemisphere using spatial domain prior distribution information based on multi-path errors in the BDS is proposed. The experimental results indicate that this method can achieve adaptive division of the grids in MHGM at the station, merging areas with weak multi-path errors and appropriately densifying areas significantly affected by multi-path errors. As the adaptive threshold parameter k increases, the correction effect of the MHGM on the multi-path errors of BDS shows a slight decrease compared to the fixed resolution, but it is still significantly better than the correction effect of ESM used as prior information. When the value of k is set to 0.9cm, compared to the fixed resolution mode, the number of parameters to be estimated in the MHGM after adaptive grid division in the experiment decreases by 77.2%, while the memory usage during parameter estimation is only 5.2% of that in the fixed resolution. This proposed method, while ensuring the effectiveness of multi-path error reduction for the BDS, further highlights its potential value in multi-path errors modeling for GNSS large-scale network data.

Key words: BDS, multi-path error, prior distribution information, AMR clustering, grid division, MHGM