Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features

Robust design of a machine learning-based GNSS NLOS detector with multi-frequency features

The robust detection of GNSS non-line-of-sight (NLOS) signals is of vital importance for land- and close-to-land-based safe navigation applications. The usage of GNSS measurements affected by NLOS can lead to large unbounded positioning errors and loss of safety. Due to the complex signal conditions...

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Bibliographic Details
Main Authors: Omar García Crespillo, Juan Carlos Ruiz-Sicilia, Ana Kliman, Juliette Marais
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Robotics and AI
Subjects:
global navigation satellite system
non-line-of-sight propagation
machine learning
urban environment
local threats
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2023.1171255/full

Internet

https://www.frontiersin.org/articles/10.3389/frobt.2023.1171255/full

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