A reliable NLOS error identification method based on LightGBM driven by multiple features of GNSS signals

A reliable NLOS error identification method based on LightGBM driven by multiple features of GNSS signals

Abstract In complicated urban environments, Global Navigation Satellite System (GNSS) signals are frequently affected by building reflection or refraction, resulting in Non-Line-of-Sight (NLOS) errors. In severe cases, NLOS errors can cause a ranging error of hundreds of meters, which has a substant...

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Bibliographic Details
Main Authors: Xiaohong Zhang, Xinyu Wang, Wanke Liu, Xianlu Tao, Yupeng Gu, Hailu Jia, Chuanming Zhang
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Satellite Navigation
Subjects:
Urban environment
GNSS signal feature
Non-line-of-sight identification
LightGBM
Fisheye camera
Online Access:https://doi.org/10.1186/s43020-024-00152-7
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https://doi.org/10.1186/s43020-024-00152-7

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