8 citations · 16 across the 7 of their papers we have counts for
7 papers
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning
Zeyang Yang, Xue Fu, Guan Gui +4
Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications. Existing deep learning-based RED methods have been proposed under the frien…
Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training
Xue Fu, Yang Peng, Yuchao Liu +4
Specific emitter identification (SEI) plays an increasingly crucial and potential role in both military and civilian scenarios. It refers to a process to discriminate individual em…
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification
Sicheng Zhang, Jiarun Yu, Zhida Bao +2
Artificial intelligence (AI) technology has provided a potential solution for automatic modulation recognition (AMC). Unfortunately, AI-based AMC models are vulnerable to adversari…
Attention Mechanism Based Intelligent Channel Feedback for mmWave Massive MIMO Systems
Yibin Zhang, Jinlong Sun, Guan Gui +4
The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of ins…
Ultra Lite Convolutional Neural Network for Fast Automatic Modulation Classification in Low-Resource Scenarios
Lantu Guo, Yu Wang, Yun Lin +2
Automatic modulation classification (AMC) is a key technique for designing non-cooperative communication systems, and deep learning (DL) is applied effectively to AMC for improving…
Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning
Yu Wang, Guan Gui, Yun Lin +3
Specific emitter identification (SEI) is a highly potential technology for physical layer authentication that is one of the most critical supplement for the upper-layer authenticat…
A Real-World Radio Frequency Signal Dataset Based on LTE System and Variable Channels
Shupeng Zhang, Yibin Zhang, Xixi Zhang +5
Radio Frequency Fingerprint (RFF) identification on account of deep learning has the potential to enhance the security performance of wireless networks. Recently, several RFF datas…