Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical...

Area of Science:

• Engineering
• Electromagnetics
• Communications

Background:

• Unmanned aerial vehicles (UAVs) are increasingly used for services like internet provision, delivery, and air taxis.
• Secure communication links between control stations and UAVs are essential for reliable operation.
• Characterizing the radio frequency (RF) propagation channel is critical for ensuring robust UAV communications.

Purpose of the Study:

• To present a measurement setup for characterizing the RF channel using an unmanned aircraft.
• To analyze the communication channel in a unique environment featuring Caatinga vegetation and a lake.
• To identify suitable communication channel models and quantify fading effects.

Main Methods:

• Deployment of a measurement setup on an unmanned aircraft to collect RF channel data.
• Analysis of large-scale fading, including path loss and log-normal shadowing.
• Characterization of small-scale fading, encompassing multipath and Doppler effects.
• Estimation of UAV speed via Doppler frequency analysis.

Main Results:

• Identification of the most suitable communication channel model for the studied environment.
• Quantification of path loss and log-normal shadowing effects in the presence of Caatinga vegetation and a lake.
• Detailed characterization of multipath and Doppler fading, crucial for understanding signal propagation.
• Accurate estimation of aircraft speed derived from Doppler frequency measurements.

Conclusions:

• The study provides a comprehensive characterization of the RF channel for UAVs in a challenging environment.
• The findings contribute to the design of more reliable and secure communication systems for unmanned aerial vehicles.
• The developed methodology and results support the advancement of UAV-based services requiring dependable connectivity.