DOA estimation in B5G/6G: Trends and challenges

N Ruan, H Wang, F Wen, J Shi - Sensors, 2022 - mdpi.com
Direction-of-arrival (DOA) estimation is the preliminary stage of communication, localization,
and sensing. Hence, it is a canonical task for next-generation wireless communications …

A novel intrusion detection method based on lightweight neural network for internet of things

R Zhao, G Gui, Z Xue, J Yin, T Ohtsuki… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

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 …

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 …

NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems

X Zhang, H Zhao, H Zhu, B Adebisi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …

Semisupervised federated-learning-based intrusion detection method for internet of things

R Zhao, Y Wang, Z Xue, T Ohtsuki… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …

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 …

3-D positioning method for anonymous UAV based on bistatic polarized MIMO radar

F Wen, J Shi, G Gui, H Gacanin… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The Angle-of-Arrival (AoA)-based approach is an appealing solution for unmanned aerial
vehicle (UAV) positioning, and has received significant interest recently. In this article, we …

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 …

GPU-free specific emitter identification using signal feature embedded broad learning

Y Zhang, Y Peng, J Sun, G Gui, Y Lin… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Emerging wireless networks may suffer severe security threats due to the ubiquitous access
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …