Measurement-Based Large Scale Statistical Modeling of Air–to–Air Wireless UAV Channels via Novel Time–Frequency Analysis
| Autor: | Ali Gorcin, Serhan Yarkan, Batuhan Kaplan, Samed Keşir, Burak Ede, Ibrahim Kahraman, Tuncer Baykas, Ali Riza Ekti, Hakan Ali Cirpan |
|---|---|
| Přispěvatelé: | Fakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü |
| Rok vydání: | 2022 |
| Předmět: |
Anechoic chamber
Computer science business.industry UAV Real-time computing Statistical model Free-space path loss Software-defined radio Drone Path Loss Time–frequency analysis Control and Systems Engineering Air–to–Air (A2A) Channel Modeling Wireless STFT Measurements Electrical and Electronic Engineering business Line of Sight Communication channel |
| Zdroj: | IEEE Wireless Communications Letters |
| ISSN: | 2162-2345 2162-2337 |
| Popis: | 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 largescale 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|