Semi-supervised specific emitter identification method using metric-adversarial training

X Fu, Y Peng, Y Liu, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
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 emitters from …

Few-shot unsupervised specific emitter identification based on density peak clustering algorithm and meta-learning

C Xie, L Zhang, Z Zhong - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Deep-learning methods are becoming increasingly popular for improving the efficiency of
specific emitter identification (SEI). However, in noncooperative scenarios, it is difficult to …

Semi-supervised specific emitter identification via dual consistency regularization

X Fu, S Shi, Y Wang, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Deep learning (DL)-based specific emitter identification (SEI) is a potential physical layer
authentication technique for Industrial Internet-of-Things (IIoT) Security, which detects the …

Few-shot specific emitter identification via deep metric ensemble learning

Y Wang, G Gui, Y Lin, HC Wu, C Yuen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a highly potential technology for physical-layer
authentication that is one of the most critical supplements for the upper-layer authentication …

Semi-supervised specific emitter identification based on bispectrum feature extraction CGAN in multiple communication scenarios

K Tan, W Yan, L Zhang, Q Ling… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Specific emitter identification (SEI) refers to the technology that uses the inherent defects of
the physical layer of a hardware device to identify and uniquely associate a single emitter …

Specific emitter identification based on deep residual networks

Y Pan, S Yang, H Peng, T Li, W Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Specific emitter identification (SEI) enables the discrimination of individual radio emitters
with the external features carried by the received waveforms. This identification technique …

LT-SEI: Long-tailed specific emitter identification based on decoupled representation learning in low-resource scenarios

H Zha, H Wang, Z Feng, Z Xiang, W Yan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the case of COVID-19, which requires stable and reliable tracking of personnel
movement, aircraft identification by specific emitter identification (SEI) is a hot-button issue. It …

Multi-feature fusion for specific emitter identification via deep ensemble learning

ZM Liu - Digital Signal Processing, 2021 - Elsevier
Specific emitter identification (SEI) is an important problem in the field of electronic
intelligence. There are two major limitations in most existing SEI methods: First, the features …

Overcoming data limitations: a few-shot specific emitter identification method using self-supervised learning and adversarial augmentation

C Liu, X Fu, Y Wang, L Guo, Y Liu, Y Lin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) based on radio frequency fingerprinting (RFF) is a
physical layer authentication method in the field of wireless network security. RFFs are …

Specific emitter identification via convolutional neural networks

L Ding, S Wang, F Wang… - IEEE communications …, 2018 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a technique that distinguishes between unique emitters
using the external feature measurements from their transmit signals, primarily radio …