DOA estimation in B5G/6G: Trends and challenges
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 …
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
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 …
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
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 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 …
NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems
Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …
identification of modulation types of unknown signal of integrated sensing and …
Semisupervised federated-learning-based intrusion detection method for internet of things
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 …
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
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 …
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
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 …
vehicle (UAV) positioning, and has received significant interest recently. In this article, we …
Few-shot specific emitter identification using asymmetric masked auto-encoder
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 …
GPU-free specific emitter identification using signal feature embedded broad learning
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 …
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …