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A Radio Frequency Region-of-Interest Convolutional Neural Network for Wideband Spectrum Sensing
Wideband spectrum sensing plays a crucial role in various wireless communication applications. Traditional methods, such as energy detection with thresholding, have limitations like detecting signals with low signal-to-noise ratio (SNR). This article proposes a novel deep learning-based approach for...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383786/ https://www.ncbi.nlm.nih.gov/pubmed/37514776 http://dx.doi.org/10.3390/s23146480 |