Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks

Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks

Recently, the chaotic compressive sensing paradigm has been widely used in many areas, due to its ability to reduce data acquisition time with high security. For cognitive radio networks (CRNs), this mechanism aims at detecting the spectrum holes based on few measurements taken from the original spa...

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Bibliographic Details
Main Authors: Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, Aawatif Hayar
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Symmetry
Subjects:
compressive sensing
chaotic sensing matrices
Chebyshev map
Bayesian models
spectrum sensing
cognitive radio networks
Online Access:https://www.mdpi.com/2073-8994/13/3/429

Internet

https://www.mdpi.com/2073-8994/13/3/429

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