5 papers
Multi-Domain Supervised Contrastive Learning for UAV Radio-Frequency Open-Set Recognition
Ning Gao, Tianrui Zeng, Bowen Chen +3
5G-Advanced (5G-A) has enabled the vibrant development of low altitude integrated sensing and communication (LA-ISAC) networks. As a core component of these networks, unmanned aeri…
A Multi-Scenario UAV RF Dataset with Real-World Acquisition and Signal Processing Benchmarking
Haolin Zheng, Ning Gao, Zhenghang Zhu +3
We present a real-world multi-scenario unmanned aerial vehicle (UAV) radio frequency (RF) dataset, namely DRFF-R2, which is collected using a dedicated acquisition platform under d…
UAV Individual Identification via Distilled RF Fingerprints-Based LLM in ISAC Networks
Haolin Zheng, Ning Gao, Donghong Cai +2
Unmanned aerial vehicle (UAV) individual (ID) identification is a critical security surveillance strategy in low-altitude integrated sensing and communication (ISAC) networks. In t…
Criticality-Based Dynamic Topology Optimization for Enhancing Aerial-Marine Swarm Resilience
Ruiyang Huang, Haocheng Wang, Yixuan Shen +4
Heterogeneous marine-aerial swarm networks encounter substantial difficulties due to targeted communication disruptions and structural weaknesses in adversarial environments. This…
Open Set RF Fingerprinting Identification: A Joint Prediction and Siamese Comparison Framework
Donghong Cai, Jiahao Shan, Ning Gao +4
Radio Frequency Fingerprinting Identification (RFFI) is a lightweight physical layer identity authentication technique. It identifies the radio-frequency device by analyzing the si…