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

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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Bibliographic Details
Main Authors: Gilles Burel, Emanuel Radoi, Roland Gautier, Denis Le Jeune
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Xsampling
modulated wideband converter
compressed sensing
data reduction
OMP algorithm
LASSO algorithm
Online Access:https://www.mdpi.com/1424-8220/23/4/2263

Internet

https://www.mdpi.com/1424-8220/23/4/2263

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