Spectrum Sensing for Noncircular Signals Using Augmented Covariance-Matrix-Aware Deep Convolutional Neural Network

Spectrum Sensing for Noncircular Signals Using Augmented Covariance-Matrix-Aware Deep Convolutional Neural Network

This work investigates spectrum sensing in cognitive radio networks, where multi-antenna secondary users aim to detect the spectral occupancy of noncircular signals transmitted by primary users. Specifically, we propose a deep-learning-based spectrum sensing approach using an augmented covariance-ma...

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Bibliographic Details
Main Authors: Songlin Chen, Zhenqing He, Wenze Song, Guohao Sun
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Sensors
Subjects:
cognitive radio
convolutional neural network
deep learning
noncircular signal
spectrum sensing
Online Access:https://www.mdpi.com/1424-8220/25/15/4791
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