测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 139-143.doi: 10.13474/j.cnki.11-2246.2023.0087

• 技术交流 • 上一篇    下一篇

城市复杂环境下不同加权模型对动态SPP定位性能影响分析

付红波   

  1. 江苏省测绘工程院, 江苏 南京 210013
  • 收稿日期:2023-01-12 发布日期:2023-04-04
  • 作者简介:付红波(1984-),男,高级工程师,主要从事大地测量、摄影测量与遥感、基础测绘DLG采集与应用等工作。E-mail:179739530@qq.com

Analysis of the influence of different weighted models on dynamicSPP positioning performance in urban complex environment

FU Hongbo   

  1. Jiangsu Province Surveying and Mapping Engineering Institute, Nanjing 210013, China
  • Received:2023-01-12 Published:2023-04-04

摘要: 城市复杂环境下,由于建筑物的遮挡,卫星定位严重受到非视距信号的影响。测量值随机误差加权模型是卫星定位的关键环节,它能够合理地分配各卫星在解算中所起作用的大小。因此,加权模型常用于缓解非视距信号对卫星定位的影响。本文针对目前主流的多种加权模型进行了系统总结和阐述,比较和分析了城市复杂环境下不同加权模型对卫星动态单点定位的影响。试验结果表明,各加权模型均能够在一定程度上提高定位精度,其中综合加权模型具有最优的性能表现。

关键词: 城市复杂环境, 非视距信号, 加权模型, 动态SPP

Abstract: In complex urban environment, satellite positioning is seriously affected by non-line-of-sight signals (NLOS) due to the occlusion of buildings. The weighted model of random error of measured value is the key link of satellite positioning, which can reasonably distribute the role of each satellite in the calculation. Therefore, the weighted model is often used to alleviate the influence of NLOS signals on satellite positioning. This paper systematically summarizes and expounds the current mainstream weighted models, and compares and analyzes the influence of different weighting models on satellite dynamic single point positioning (SPP) in the complex urban environment. The experimental results show that all the weighted models can improve the positioning accuracy to a certain extent, and the comprehensive weighted model has the best performance.

Key words: complex urban environment, NLOS signal, weighted model, dynamic SPP

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