5 papers · 1 filter
ACSNet: A Deep Neural Network for Compound GNSS Jamming Signal Classification
Min Jiang, Ziqiang Ye, Yue Xiao +3
In the global navigation satellite system (GNSS), identifying not only single but also compound jamming signals is crucial for ensuring reliable navigation and positioning, particu…
Optimizing Radio Access Technology Selection and Precoding in CV-Aided ISAC Systems
Yulan Gao, Ziqiang Ye, Ming Xiao +1
Integrated Sensing and Communication (ISAC) systems promise to revolutionize wireless networks by concurrently supporting high-resolution sensing and high-performance communication…
GNSS Interference Classification Using Federated Reservoir Computing
Ziqiang Ye, Yulan Gao, Xinyue Liu +3
The expanding use of Unmanned Aerial Vehicles (UAVs) in vital areas like traffic management, surveillance, and environmental monitoring highlights the need for robust communication…
CA-FedRC: Codebook Adaptation via Federated Reservoir Computing in 5G NR
Ziqiang Ye, Sikai Liao, Yulan Gao +4
With the burgeon deployment of the fifth-generation new radio (5G NR) networks, the codebook plays a crucial role in enabling the base station (BS) to acquire the channel state inf…
Federated Transfer Learning Aided Interference Classification in GNSS Signals
Min Jiang, Ziqiang Ye, Yue Xiao +1
This study delves into the classification of interference signals to global navigation satellite systems (GNSS) stemming from mobile jammers such as unmanned aerial vehicles (UAVs)…