Wideband Spectrum Sensing Using Modulated Wideband Converter and Data Reduction Invariant Algorithms

Wideband spectrum sensing is a challenging problem in the framework of cognitive radio and spectrum surveillance, mainly because of the high sampling rates required by standard approaches. In this paper, a compressed sensing approach was considered to solve this problem, relying on a sub-Nyquist or...

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Detalles Bibliográficos
Autores principales: Burel, Gilles, Radoi, Emanuel, Gautier, Roland, Le Jeune, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960934/
https://www.ncbi.nlm.nih.gov/pubmed/36850865
http://dx.doi.org/10.3390/s23042263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960934/
https://www.ncbi.nlm.nih.gov/pubmed/36850865
http://dx.doi.org/10.3390/s23042263

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