Measurement-Based Large Scale Statistical Modeling of Air-to-Air Wireless UAV Channels via Novel Time-Frequency Analysis

Ede B., Kaplan B., Kahraman I., Kesir S., YARKAN S., Ekti A. R., ...Daha Fazla

IEEE Wireless Communications Letters, cilt.11, sa.1, ss.136-140, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1109/lwc.2021.3122281
  • Dergi Adı: IEEE Wireless Communications Letters
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
  • Sayfa Sayıları: ss.136-140
  • Anahtar Kelimeler: Drones, Loss measurement, Atmospheric modeling, Wireless communication, Antenna measurements, Frequency measurement, Transmitters, UAV, air-to-air (A2A) channel modeling, STFT, measurements, path loss, line of sight
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

Any operation scenario for unmanned aerial vehicles also known as drones in real world requires resilient wireless link to guarantee capacity and performance for users, which can only be achieved by obtaining detailed knowledge about the propagation channel. Thus, this study investigates the large-scale channel propagation statistics for the line of sight air-to-air (A2A) drone communications to estimate the path loss exponent (PLE). We conducted a measurement campaign at 5.8 GHz, using low cost and light weight software defined radio based channel sounder which is developed in this study and then further integrated on commercially available drones. To determine the PLE, frequency-based, time-based and time-frequency based methods are utilized. Accuracy of the proposed method is verified under ideal conditions in a well-isolated anechoic chamber before the actual measurement campaign to verify the performance in a free space path loss environment. The path loss exponent for A2A wireless drone channel is estimated with these verified methods.