6 citations · 19 across the 9 of their papers we have counts for
9 papers
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,…
Experimental Study of Outdoor UAV Localization and Tracking using Passive RF Sensing
Udita Bhattacherjee, Ender Ozturk, Ozgur Ozdemir +3
Extensive use of unmanned aerial vehicles (UAVs) is expected to raise privacy and security concerns among individuals and communities. In this context, the detection and localizati…
60 GHz Outdoor Propagation Measurements and Analysis Using Facebook Terragraph Radios
Kairui Du, Omkar Mujumdar, Ozgur Ozdemir +5
The high attenuation of millimeter-wave (mmWave) would significantly reduce the coverage areas, and hence it is critical to study the propagation characteristics of mmWave in multi…
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…
RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks
Ender Ozturk, Fatih Erden, Ismail Guvenc
This paper investigates the problem of classification of unmanned aerial vehicles (UAVs) from radio frequency (RF) fingerprints at the low signal-to-noise ratio (SNR) regime. We us…
Multilayer Minkowski Reflectarray Antenna with Improved Phase Performance
Ender Ozturk, Birsen Saka
We propose a multi-layer unit cell consisting of Minkowski fractal shaped reflector with aperture coupled phasing stubs to obtain a broad phase range for the reflectarray antenna w…
Outdoor mmWave Base Station Placement: A Multi-Armed Bandit Learning Approach
Fatih Erden, Chethan K. Anjinappa, Ender Ozturk +1
Base station (BS) placement in mobile networks is critical to the efficient use of resources in any communication system and one of the main factors that determines the quality of…
Localization with Deep Neural Networks using mmWave Ray Tracing Simulations
Udita Bhattacherjee, Chethan Kumar Anjinappa, LoyCurtis Smith +2
The world is moving towards faster data transformation with more efficient localization of a user being the preliminary requirement. This work investigates the use of a deep learni…
Multiple Ray Received Power Modeling for mmWave Indoor and Outdoor Scenarios
Wahab Khawaja, Ozgur Ozdemir, Fatih Erden +2
Millimeter-wave (mmWave) frequency bands are expected to be used for future 5G networks due to the availability of large unused spectrum. However, the attenuation at mmWave frequen…