Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling

The accuracy of global navigation satellite system (GNSS) receivers is significantly compromised by interference from jamming devices. Consequently, the detection of these jammers are crucial to mitigating such interference signals. However, robust classification of interference using machine learni...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Heublein, Lucas, Feigl, Tobias, Rügamer, Alexander, Ott, Felix
Format:	Artikel
Sprache:	eng
Schlagworte:	Global navigation satellite system Indoor environments Jamming Machine learning Monitoring Signal classification
Online-Zugang:	Volltext
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