A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum

The vast majority of existing sub-Nyquist sampling wideband spectrum sensing (WSS) methods default to a sparse spectrum. However, research data suggests that in the near future, the wideband spectrum will no longer be sparse. This article proposes a sub-Nyquist sampling WSS algorithm that can adapt...

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Detalles Bibliográficos
Autores principales: Ren, Shiyu, Chen, Wantong, Wu, Hailong, Li, Dongxia, Hu, Zhongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414623/
https://www.ncbi.nlm.nih.gov/pubmed/36016056
http://dx.doi.org/10.3390/s22166295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414623/
https://www.ncbi.nlm.nih.gov/pubmed/36016056
http://dx.doi.org/10.3390/s22166295

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