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A Channel Attention-Based Denoising Autoencoder U-Net and Classifier (UNA-DAEC) for Signal Identification Under Challenging SNR Conditions

The use of Low-Power Wide Area Network (LPWAN) technologies, such as Long Range (LoRa), Sigfox, and IEEE 802.15.4g (ZigBee), has grown significantly, addressing a wide range of applications including smart metering, agriculture, smart homes, and healthcare. These technologies are valued for their si...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ife Olalekan Ebo, Idowu Ajayi, Lina Mroueh, Youmni Ziade, Sylvain Azarian
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2025-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Autoencoder
channel attention
convolutional neural network
deep learning
denoising auto-encoder
low-power wireless area network
Online-Zugang:https://ieeexplore.ieee.org/document/10980283/
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