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Comparative Analysis of Radar Cross Section Based UAV Classification Techniques
Martins Ezuma, Chethan Kumar Anjinappa, Vasilii Semkin +1
This work investigates the problem of unmanned aerial vehicles (UAVs) identification using their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at…
Doors in the Sky: Detection, Localization and Classification of Aerial Vehicles using Laser Mesh
Wahab Khawaja, Ender Ozturk, Ismail Guvenc
The stealth technology and unmanned aerial vehicles (UAVs) are expected to dominate current and future aerial warfare. The radar systems at their maximum operating ranges, however,…
Channel Rank Improvement in Urban Drone Corridors Using Passive Intelligent Reflectors
Ender Ozturk, Chethan Kumar Anjinappa, Fatih Erden +3
Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplex…
Ensuring Reliable Connectivity to Cellular-Connected UAVs with Up-tilted Antennas and Interference Coordination
Md Moin Uddin Chowdhury, Ismail Guvenc, Walid Saad +1
To integrate unmanned aerial vehicles (UAVs) in future large-scale deployments, a new wireless communication paradigm, namely, the cellular-connected UAV has recently attracted int…
Radar Cross Section Based Statistical Recognition of UAVs at Microwave Frequencies
Martins Ezuma, Chethan Kumar Anjinappa, Mark Funderburk +1
This paper presents a radar cross-section (RCS)-based statistical recognition system for identifying/ classifying unmanned aerial vehicles (UAVs) at microwave frequencies. First, t…
28 GHz Indoor and Outdoor Propagation Analysis at a Regional Airport
Kairui Du, Ozgur Ozdemir, Fatih Erden +1
In the upcoming 5G communication, the millimeter-wave (mmWave) technology will play an important role due to its large bandwidth and high data rate. However, mmWave frequencies hav…