4 papers · 1 filter
CSPMNet: Pareto-Efficient Automatic Modulation Classification With Learnable Complex Subband Phase Motion
Ruixiang Zhang, Zinan Zhou, Yezhuo Zhang +2
Automatic modulation classification (AMC) is an essential technique for noncooperative spectrum monitoring and intelligent wireless receivers. However, practical AMC models must id…
SEI-SHIELD: Robust Specific Emitter Identification Under Label Noise Via Self-Supervised Filtering and Iterative Rescue
Ruixiang Zhang, Zinan Zhou, Yezhuo Zhang +2
Specific Emitter Identification (SEI) provides physical-layer device authentication for wireless communications and Internet of Things (IoT) systems. While deep learning (DL) has s…
Factorized Disentangled Representation Learning for Interpretable Radio Frequency Fingerprint
Yezhuo Zhang, Zinan Zhou, Guangyu Li +1
In response to the rapid growth of Internet of Things (IoT) devices and rising security risks, Radio Frequency Fingerprint (RFF) has become key for device identification and authen…
MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal Length
Yezhuo Zhang, Zinan Zhou, Yichao Cao +2
With the rapid growth of the Internet of Things ecosystem, Automatic Modulation Classification (AMC) has become increasingly paramount. However, extended signal lengths offer a bou…