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Found 9 papers, 5 papers with code
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.
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning
Rogue emitter detection (RED) is a crucial technique to maintain secure internet of things applications.
Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training
Specifically, pseudo labels are innovatively introduced into metric learning to enable semi-supervised metric learning (SSML), and an objective function alternatively regularized by SSML and virtual adversarial training (VAT) is designed to extract discriminative and generalized semantic features of radio signals.
Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning
Thus, we focus on few-shot SEI (FS-SEI) for aircraft identification via automatic dependent surveillance-broadcast (ADS-B) signals, and a novel FS-SEI method is proposed, based on deep metric ensemble learning (DMEL).
A Real-World Radio Frequency Signal Dataset Based on LTE System and Variable Channels
However, most of these datasets are collected from 2. 4G WiFi devices and through similar channel environments.
A Novel Channel Identification Architecture for mmWave Systems Based on Eigen Features
Hence, the ideal communication environment for mmWave is line of sight (LOS) channel.
SWAN: Swarm-Based Low-Complexity Scheme for PAPR Reduction
Nevertheless, due to the exhaustive search requirement, it demands excessive computational complexity.
Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm
Hence, in this review, a pair of dominant methodologies of using DL for wireless communications are investigated.
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications.
