4 citations · 5 across the 6 of their papers we have counts for
12 papers
A Survey on Detection, Tracking, and Classification of Aerial Threats using Radars and Communications Systems
Wahab Khawaja, Martins Ezuma, Vasilii Semkin +3
The use of unmanned aerial vehicles (UAVs) for different applications has increased many folds in recent years. The UAVs are expected to change the future air operations. However,…
Hierarchical Learning Framework for UAV Detection and Identification
Olusiji O Medaiyese, Martins Ezuma, Adrian P Lauf +1
The ubiquity of unmanned aerial vehicles (UAVs) or drones is posing both security and safety risks to the public as UAVs are now used for cybercrimes. To mitigate these risks, it i…
Semi-supervised Learning Framework for UAV Detection
Olusiji O Medaiyese, Martins Ezuma, Adrian P Lauf +1
The use of supervised learning with various sensing techniques such as audio, visual imaging, thermal sensing, RADAR, and radio frequency (RF) have been widely applied in the detec…
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…
Wavelet Transform Analytics for RF-Based UAV Detection and Identification System Using Machine Learning
Olusiji Medaiyese, Martins Ezuma, Adrian P. Lauf +1
In this work, we performed a thorough comparative analysis on a radio frequency (RF) based drone detection and identification system (DDI) under wireless interference, such as WiFi…
FPGA prototyping of synchronized chaotic map for UAV secure communication
Christian Nwachioma, Martins Ezuma, Olusiji . O. Medaiyese
We propose a design that uses the principle of chaos for UAV secure communication. A UAV identified as an aerial base station communicates with a ground base station over an RF cha…