17 citations · 52 across the 18 of their papers we have counts for
5 papers · 1 filter
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…
A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
Akbar Sayeed, Peter Vouras, Camillo Gentile +13
A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by sounders at millimeter-wave (…
Coverage Hole Detection for mmWave Networks: An Unsupervised Learning Approach
Chethan K. Anjinappa, Ismail Guvenc
The utilization of millimeter-wave (mmWave) bands in 5G networks poses new challenges to network planning. Vulnerability to blockages at mmWave bands can cause coverage holes (CHs)…
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…
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…