A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models

F Xu, C Wang, J Liang, C Zuo, K Yue… - IET …, 2024 - Wiley Online Library
Automatic modulation classification models based on deep learning models are at risk of
being interfered by adversarial attacks. In an adversarial attack, the attacker causes the …

KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme

L Yua, F Zhou, Q Wu, N Al-Dhahir, KK Wong - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic modulation classification (AMC) is a promising technology to realize intelligent
wireless communications in the sixth generation (6G) wireless communication networks …

Deep Learning-Based Frequency Offset Estimation

T Chen, S Zheng, J Zhu, Q Xuan, X Yang - arXiv preprint arXiv:2311.16155, 2023 - arxiv.org
In wireless communication systems, the asynchronization of the oscillators in the transmitter
and the receiver along with the Doppler shift due to relative movement may lead to the …

Unified Deep Neural Demodulation Network Design for QAM Signal Recovery

B Xiao, S Zheng, J Zhu, Z Zhang… - 2023 IEEE 98th …, 2023 - ieeexplore.ieee.org
In this paper, we focus on designing an unified deep neural demodulation network for
recovering multiple QAM signals, which can adapt to the adaptive QAM modulation signal …

Incremental Learning-Based Radio Frequency Fingerprint Identification via Exemplar Replay

P Ji, Y Peng, G Lu, L Guo, J Zhou, Y Lin… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
With the development of the Internet of Things, the number of wireless communication
devices is rapidly increasing, which has brought security and privacy issues into great …

Universal and complementary representation learning for automatic modulation recognition

B Liu, R Ge, Y Zhu, B Zhang, Y Bao - Electronics Letters, 2023 - Wiley Online Library
Automatic modulation recognition (AMR) is a fundamental research topic in the field of
signal processing and wireless communication, which has widespread applications in …

[PDF][PDF] Data-Driven Vibration-Based Condition Monitoring: Fundamentals, Applications, and Challenges

SAS Aburakhia - 2024 - ir.lib.uwo.ca
Abstract Vibration-Based Condition Monitoring (VBCM) is commonly utilized in Prognostics
and Health Management (PHM) due to its non-destructive nature and inherent advantages …

Detection of Radar Pulse Signals Based on Deep Learning

F Gu, L Zhang, S Zheng, J Chen, Z Zhao, X Yang - Authorea Preprints, 2023 - techrxiv.org
Radar is widely used in aviation, meteorology and military fields, and radar pulse signal
detection has become an indispensable and essential function of cognitive radio systems as …