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

📅 2026-09-10
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Influential: 0
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🤖 AI Summary
本文通过使用无人机在特定植被和湖泊环境中收集数据,分析了无线电传播信道特性,包括大尺度衰落、小尺度衰落及多普勒效应。
📝 Abstract
The use of unmanned aerial vehicles (UAV) to provide services such as the Internet, goods delivery, and air taxis has become a reality in recent years. The use of these aircraft requires a secure communication between the control station and the UAV, which demands the characterization of the communication channel. This paper aims to present a measurement setup using an unmanned aircraft to acquire data for the characterization of the radio frequency channel in a propagation environment with particular vegetation (Caatinga) and a lake. This paper presents the following contributions: identification of the communication channel model that best describes the characteristics of communication; characterization of the effects of large-scale fading, such as path loss and log-normal shadowing; characterization of small-scale fading (multipath and Doppler); and estimation of the aircraft speed from the identified Doppler frequency.
Problem

Research questions and friction points this paper is trying to address.

UAV
propagation channel
vegetation
lake
fading
Innovation

Methods, ideas, or system contributions that make the work stand out.

unmanned aerial vehicles
channel characterization
large-scale fading
small-scale fading
Doppler frequency
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Deyvid L. Leite
Post-Graduate Program in Electrical and Computer Engineering, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil
Pablo Javier Alsina
Pablo Javier Alsina
Post-Graduate Program in Electrical and Computer Engineering, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil
M
Millena M. de M. Campos
Post-Graduate Program in Electrical and Computer Engineering, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil
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Vicente A. de Sousa Junior
Post-Graduate Program in Electrical and Computer Engineering, Federal University of Rio Grande do Norte (UFRN), Natal, 59078-970, RN, Brazil
A
Alvaro A. M. de Medeiros
Department of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, MG, Brazil