Automatic modulation classification: A deep architecture survey

T Huynh-The, QV Pham, TV Nguyen, TT Nguyen… - IEEE …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental
signal processing technique in the physical layer to improve the spectrum utilization
efficiency. Motivated by deep learning (DL) high-impact success in many informatics
domains, including radio signal processing for communications, numerous recent AMC
methods exploiting deep networks have been proposed to overcome the existing drawbacks …

[PDF][PDF] Automatic modulation classification: A deep architecture survey

TVAN NGUYEN, TTHI NGUYEN, R RUBY, M ZENG… - 2020 - dro.deakin.edu.au
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental
signal processing technique in the physical layer to improve the spectrum utilization
efficiency. Motivated by deep learning (DL) high-impact success in many informatics
domains, including radio signal processing for communications, numerous recent AMC
methods exploiting deep networks have been proposed to overcome the existing drawbacks …
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