Deep Learning of GNSS Acquisition

Signal acquisition is a crucial step in Global Navigation Satellite System (GNSS) receivers, which is typically solved by maximizing the so-called Cross-Ambiguity Function (CAF) as a hypothesis testing problem. This article proposes to use deep learning models to perform such acquisition, whereby th...

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Detalles Bibliográficos
Autores principales: Borhani-Darian, Parisa, Li, Haoqing, Wu, Peng, Closas, Pau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920026/
https://www.ncbi.nlm.nih.gov/pubmed/36772605
http://dx.doi.org/10.3390/s23031566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920026/
https://www.ncbi.nlm.nih.gov/pubmed/36772605
http://dx.doi.org/10.3390/s23031566

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