Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer

Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer

Signals from global navigation satellite systems (GNSSs) in urban areas suffer from serious multipath errors caused by building blockages and reflections. The use of deep neural networks offers great potential for predicting and eliminating complex multipath/non-line-of-sight (NLOS) errors. However,...

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Bibliographic Details
Main Authors: Shaolong Zheng, Kungan Zeng, Zhenni Li, Qianming Wang, Kan Xie, Ming Liu, Shengli Xie
Format: Article
Language:English
Published: Institute of Navigation 2024-12-01
Series:Navigation
Online Access:https://navi.ion.org/content/71/4/navi.676
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