Prediction on EMS of UAV's Data Link Based on SSA-Optimized Dual-Channel CNN
T Xu, Y Wang, D Zhang, M Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a novel method is presented for electromagnetic interference (EMI) perception
and electromagnetic susceptibility (EMS) assessment of an unmanned aerial vehicle (UAV) …
and electromagnetic susceptibility (EMS) assessment of an unmanned aerial vehicle (UAV) …
[HTML][HTML] EMI threat assessment of UAV data link based on Multi-Task CNN
T Xu, Y Chen, Y Wang, D Zhang, M Zhao - Electronics, 2023 - mdpi.com
In this work, a multi-task convolutional neural network with multi-input (MIMT-CNN) is
proposed for electromagnetic interference (EMI) signals recognition and electromagnetic …
proposed for electromagnetic interference (EMI) signals recognition and electromagnetic …
GPR-based EMI prediction for UAV's dynamic datalink
D Zhang, M Zhao, E Cheng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The datalink of an unmanned aerial vehicle (UAV) is vulnerable to external electromagnetic
interference (EMI). The characteristic parameters of the EMI signal can be definitively …
interference (EMI). The characteristic parameters of the EMI signal can be definitively …
[HTML][HTML] ML-based delay–angle-joint path loss prediction for UAV mmWave channels
Path loss is important for the unmanned aerial vehicle (UAV) placement, trajectory
optimization, and power allocation in UAV-aided communications. By considering both the …
optimization, and power allocation in UAV-aided communications. By considering both the …
[PDF][PDF] Optimal Deep Learning Enabled Communication System for Unmanned Aerial Vehicles.
Recently, unmanned aerial vehicles (UAV) or drones are widely employed for several
application areas such as surveillance, disaster management, etc. Since UAVs are limited to …
application areas such as surveillance, disaster management, etc. Since UAVs are limited to …
Application of C1DAE-ANIL in End-to-End Communication of IRS-Assisted UAV System
Due to the uninterrupted flight of the unmanned aerial vehicles (UAV) and the varying phase
of the intelligent reflecting surface (IRS) in the IRS-assisted UAV communication system, it is …
of the intelligent reflecting surface (IRS) in the IRS-assisted UAV communication system, it is …
Air-to-ground path loss prediction using ray tracing and measurement data jointly driven DNN
With the wide application of unmanned aerial vehicle (UAV), air-to-ground (A2G) channel
characterization is important for efficient and stable UAV-related communications. In this …
characterization is important for efficient and stable UAV-related communications. In this …
Prediction of electromagnetic compatibility for dynamic datalink of UAV
D Zhang, E Cheng, H Wan, X Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The operation signal of an unmanned aerial vehicle's (UAV's) datalink will change with the
flight radius and attitude, which leads to a dynamic variation of the electromagnetic …
flight radius and attitude, which leads to a dynamic variation of the electromagnetic …
LSTM-based distributed conditional generative adversarial network for data-driven 5G-enabled maritime UAV communications
5G enabled maritime unmanned aerial vehicle (UAV) communication is one of the important
applications of 5G wireless network which requires minimum latency and higher reliability to …
applications of 5G wireless network which requires minimum latency and higher reliability to …