测绘通报 ›› 2025, Vol. 0 ›› Issue (3): 81-86.doi: 10.13474/j.cnki.11-2246.2025.0314

• 学术研究 • 上一篇    

基于AMR聚类的北斗卫星导航系统多路径误差自适应格网划分建模方法

王亚伟1, 伍百发1, 黄磊1, 刘华光1, 吴志文1, 詹艳春1, 李海洋2   

  1. 1. 湖南省第一测绘院, 湖南 长沙 410114;
    2. 江苏省水利科学研究院, 江苏 南京 210017
  • 收稿日期:2024-07-16 发布日期:2025-04-03
  • 作者简介:王亚伟(1991—),男,博士,工程师,主要从事GNSS精密数据处理及多路径误差建模。E-mail:lambert87041@outlook.com
  • 基金资助:
    湖南省自然科学基金(2024JJ8377);湖南省第一测绘院科研项目(KY202404;KY202405)

Multi-point hemispherical grid model with adaptive grid division for BDS multi-path errors based on AMR clustering

WANG Yawei1, WU Baifa1, HUANG Lei1, LIU Huaguang1, WU Zhiwen1, ZHAN Yanchun1, LI Haiyang2   

  1. 1. The First Surveying and mapping Institute of Hunan Province, Changsha 410114, China;
    2. Jiangsu Hydraulic Research Institute, Nanjing 210017, China
  • Received:2024-07-16 Published:2025-04-03

摘要: 针对固定间隔格网划分的多路径误差半天球格网点建模方法(MHGM)在多测站应用中计算资源消耗过大的问题,本文首先利用北斗卫星导航系统多路径误差效应的空间域先验分布信息,实现了半天球格网的自适应划分,减少了MHGM的待估参数;然后通过试验验证了该方法的有效性,该方法可以合并多路径误差变化平缓的区域,并合理加密多路径误差影响较大区域。试验结果表明,随着自适应阈值参数k的增大,虽然北斗系统多路径误差改正效果略有下降,但仍优于作为先验信息的ESM模型。当k=0.9 cm时,相比固定分辨率模式,模型待估参数下降77.2%,参数估计的内存占用仅为固定划分模式的5.2%,显著降低了计算资源消耗。在保证北斗系统多路径误差改正效果的同时,拓展了该方法在大规模测站多路径误差整体建模中的应用价值。

关键词: 北斗卫星导航系统, 多路径误差, 先验分布信息, AMR聚类, 格网划分, MHGM

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

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