An Extreme Value Theory-based Approach for Reliable Drone RF Signal Identification
Y Chen, L Zhu, Y Jiao, C Yao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Radio frequency (RF)-based drone identification is a safety-critical task, where erroneous
model outputs may result in potential costs. However, most existing studies are based on the …
model outputs may result in potential costs. However, most existing studies are based on the …
[HTML][HTML] UAV IoT Sensing and Networking
Research on unmanned aerial vehicles, also known as drones or by the acronym UAVs, has
been increasing in recent years. These devices have specific characteristics that make them …
been increasing in recent years. These devices have specific characteristics that make them …
Multitask Learning for Radar-Based Characterization of Drones
For the effective deployment of countermeasures against drones, information on their intent
is crucial. There are several indicators for a drone's intent, eg, its size, payload, and …
is crucial. There are several indicators for a drone's intent, eg, its size, payload, and …
Accurate RF-sensing of complex gestures using RFID with variable phase-profiles
S Golipoor, S Sigg - 2023 IEEE 32nd International Symposium …, 2023 - ieeexplore.ieee.org
We propose the use of clothing-integrated conductive textile-based Radio Frequency
Identification (RFID) tags featuring variable-phase profiles for RF-based human sensing …
Identification (RFID) tags featuring variable-phase profiles for RF-based human sensing …
[PDF][PDF] RF-Based Drone Detection using AI Models: Results, Trends, and Open Issues
This study explores various AI models for RF-based drone detection and surveillance. Both
quality and quantitative analyses of extant literature are carried out. The preliminary review …
quality and quantitative analyses of extant literature are carried out. The preliminary review …