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...

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Bibliographic Details
Main Authors: Adam Olesiński, Zbigniew Piotrowski
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/14/6480