Jammer Classification in GNSS Bands Via Machine Learning Algorithms

This paper proposes to treat the jammer classification problem in the Global Navigation Satellite System bands as a black-and-white image classification problem, based on a time-frequency analysis and image mapping of a jammed signal. The paper also proposes to apply machine learning approaches in o...

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Detalles Bibliográficos
Autores principales: Morales Ferre, Ruben, de la Fuente, Alberto, Lohan, Elena Simona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891345/
https://www.ncbi.nlm.nih.gov/pubmed/31698860
http://dx.doi.org/10.3390/s19224841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891345/
https://www.ncbi.nlm.nih.gov/pubmed/31698860
http://dx.doi.org/10.3390/s19224841

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