Data augmentation aided few-shot learning for specific emitter identification
Specific emitter identification (SEI) extracts the fingerprint characteristics of emitters
according to the subtle differences of transmitted signals, to distinguish different emitter …
according to the subtle differences of transmitted signals, to distinguish different emitter …
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 …
physical layer authentication method in the field of wireless network security. RFFs are …
Few‐Shot Specific Emitter Identification Based on Variational Mode Decomposition and Meta‐Learning
CX Xie, LM Zhang, ZG Zhong - Wireless Communications and …, 2022 - Wiley Online Library
Recently, deep learning has become the mainstream solution to solve specific emitter
identification (SEI) problems. However, because large amounts of labeled signal samples …
identification (SEI) problems. However, because large amounts of labeled signal samples …
Few-shot specific emitter identification via hybrid data augmentation and deep metric learning
Specific emitter identification (SEI) is a potential physical layer authentication technology,
which is one of the most critical complements of upper layer authentication. Radio frequency …
which is one of the most critical complements of upper layer authentication. Radio frequency …
A novel method for few-shot specific emitter identification in non-cooperative Scenarios
C Xie, L Zhang, Z Zhong - IEEE Access, 2022 - ieeexplore.ieee.org
Obtaining larger category-label-containing training signal datasets in non-cooperative
scenarios is difficult. Moreover, employing smaller labeled signal datasets for specific emitter …
scenarios is difficult. Moreover, employing smaller labeled signal datasets for specific emitter …
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 …
specific emitter identification (SEI). However, in noncooperative scenarios, it is difficult to …
Few-shot specific emitter identification via deep metric ensemble learning
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 …
authentication that is one of the most critical supplements for the upper-layer authentication …
Interpolative metric learning for few-shot specific emitter identification
C Wang, X Fu, Y Wang, G Gui… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a potential physical layer authentication technology,
which is one of the most critical complements of upper layer authentication. Radio frequency …
which is one of the most critical complements of upper layer authentication. Radio frequency …
Few-shot specific emitter identification using asymmetric masked auto-encoder
Z Yao, X Fu, L Guo, Y Wang, Y Lin… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Specific emitter identification (SEI) based on radio frequency fingerprint (RFF) characteristics
can be used to identify different transmitters, and the deep learning (DL)-based SEI methods …
can be used to identify different transmitters, and the deep learning (DL)-based SEI methods …
FCGCN: Feature Correlation Graph Convolution Network for Few-Shot Individual Identification
In the era of big data, Deep Learning (DL) technology has achieved breakthroughs in
various tasks involving electromagnetic analysis and recognition signals. However, in …
various tasks involving electromagnetic analysis and recognition signals. However, in …