1 citations · 1 across the 5 of their papers we have counts for
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Deep Learning based Cross-Receiver Radio Frequency Fingerprint Identification Under Varying Channels
Jiashuo He, Yumeng Wang, Feiyang He +4
Radio frequency fingerprint identification (RFFI) exploits device-specific hardware impairments for transmitter recognition, but its performance is highly vulnerable to receiver va…
CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications
Shuo Chang, Rui Sun, Jiashuo He +3
The development of Large AI Models (LAMs) for wireless communications, particularly for complex tasks like spectrum sensing, is critically dependent on the availability of vast, di…
Joint Signal Detection and Automatic Modulation Classification via Deep Learning
Huijun Xing, Xuhui Zhang, Shuo Chang +4
Signal detection and modulation classification are two crucial tasks in various wireless communication systems. Different from prior works that investigate them independently, this…
Channel-robust Automatic Modulation Classification Using Spectral Quotient Cumulants
Sai Huang, Yuting Chen, Jiashuo He +2
Automatic modulation classification (AMC) is to identify the modulation format of the received signal corrupted by the channel effects and noise. Most existing works focus on the i…