GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks

In urban environments, where line-of-sight signals from GNSS satellites are frequently blocked by high-rise objects, GNSS receivers are subject to large errors in measuring satellite ranges. Heuristic methods are commonly used to estimate these errors and reduce the impact of noisy measurements on l...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Jalalirad, Amir, Belli, Davide, Major, Bence, Jee, Songwon, Shah, Himanshu, Morrison, Will
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Cost analysis Cost function Deep learning Empirical analysis Error analysis Global navigation satellite system Graph neural networks Heuristic methods Localization Urban environments
Online-Zugang:	Volltext
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