Cargando…
Machine-Learning-Assisted Cyclostationary Spectral Analysis for Joint Signal Classification and Jammer Detection at the Physical Layer of Cognitive Radio
Cognitive radio technology was introduced as a possible solution for spectrum scarcity by exploiting dynamic spectrum access. In the last two decades, most researchers focused on enabling cognitive radios for managing the spectrum. However, due to their intelligent nature, cognitive radios can scan...
Autores principales: | Nawaz, Tassadaq, Alzahrani, Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459740/ https://www.ncbi.nlm.nih.gov/pubmed/37631681 http://dx.doi.org/10.3390/s23167144 |
Ejemplares similares
-
Generalizations of cyclostationary signal processing: spectral analysis and applications
por: Napolitano, Antonio
Publicado: (2012) -
Jammer Classification in GNSS Bands Via Machine Learning Algorithms
por: Morales Ferre, Ruben, et al.
Publicado: (2019) -
9th Workshop on Cyclostationary Systems and Their Applications
por: Chaari, Fakher, et al.
Publicado: (2017) -
7th Workshop on Cyclostationary Systems And Their Applications
por: Chaari, Fakher, et al.
Publicado: (2015) -
Cooperative Jammer Selection for Secrecy Improvement in Cognitive Internet of Things
por: Xie, Ping, et al.
Publicado: (2018)