Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ozturk, Ender"'
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, are not always able to detect stealth and small UAVs mainly due to th
Externí odkaz:
http://arxiv.org/abs/2111.07231
Autor:
Du, Kairui, Mujumdar, Omkar, Ozdemir, Ozgur, Ozturk, Ender, Guvenc, Ismail, Sichitiu, Mihail L., Dai, Huaiyu, Bhuyan, Arupjyoti
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 multiple deployment scenarios. In this work, we investigated the propagatio
Externí odkaz:
http://arxiv.org/abs/2109.00688
Autor:
Bhattacherjee, Udita, Ozturk, Ender, Ozdemir, Ozgur, Guvenc, Ismail, Sichitiu, Mihail L., Dai, Huaiyu
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 localization of UAVs will be critical for maintaining safe and secure airspace i
Externí odkaz:
http://arxiv.org/abs/2108.07857
Autor:
Ozturk, Ender, Anjinappa, Chethan Kumar, Erden, Fatih, Guvenc, Ismail, Dai, Huaiyu, Bhuyan, Arupjyoti
Multiple-input multiple-output (MIMO) techniques can help in scaling the achievable air-to-ground (A2G) channel capacity while communicating with drones. However, spatial multiplexing with drones suffers from rank deficient channels due to the unobst
Externí odkaz:
http://arxiv.org/abs/2108.02179
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 use convolutional neural networks (CNNs) trained with both RF time-serie
Externí odkaz:
http://arxiv.org/abs/2009.05519
Autor:
Ozturk, Ender, Saka, Birsen
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 with smaller unit cell size and inter-element spacing compared to some
Externí odkaz:
http://arxiv.org/abs/2009.12343
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 communication. Although there is ample literature on the optimum place
Externí odkaz:
http://arxiv.org/abs/2003.03494
Autor:
Bhattacherjee, Udita, Anjinappa, Chethan Kumar, Smith, LoyCurtis, Ozturk, Ender, Guvenc, Ismail
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 learning technique for wireless localization, considering both millimeter-wa
Externí odkaz:
http://arxiv.org/abs/2002.12511
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 frequencies is high. To resolve this issue, the utilization of high gain ante
Externí odkaz:
http://arxiv.org/abs/2001.06459
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