Unmanned Aerial Vehicle Propagation Datalink Tool Based on a Hybrid Multiscale Modeling

Perotoni, Marcelo B.; Araujo, Roberio Donizeth Passos de; Sartori, Carlos

doi:10.5028/jatm.v10.975

Cited by 2 publications

(3 citation statements)

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“…This effect is related to the first partially cleared Fresnel zone [ 5 ], as also observed in [ 12 ]. In flights at greater heights, the path loss decreases as distance increases, as observed in [ 22 , 47 ]. In [ 47 ], an experimental path loss study was carried out with the UAV flying at an altitude of 1 km.…”

Section: Resultsmentioning

confidence: 77%

“…In flights at greater heights, the path loss decreases as distance increases, as observed in [ 22 , 47 ]. In [ 47 ], an experimental path loss study was carried out with the UAV flying at an altitude of 1 km. The work showed that the power received at the base station increases as the aircraft moves away from the base station, until it reaches its maximum value and then begins its decline, that is, the intensity of power received at the base station decreases as the aircraft moves away.…”

Section: Resultsmentioning

confidence: 77%

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

Leite

Alsina

Campos

et al. 2021

Sensors

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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.

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Section: Resultsmentioning

confidence: 77%

Section: Resultsmentioning

confidence: 77%

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

Leite

Alsina

Campos

et al. 2021

Sensors

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“…A lot of studies usually adopt either the path loss [12] of the drone datalink or the channel in which the drone operates [13] to predict the datalink behavior. For instance, Bing [14] modeled both the large-scale and smallscale fading with only the channel modeling while Perotoni et al [15] proposed a tool for modeling the propagation of drone datalink. In recent researches, these modeling environments are incorporated into embedded devices to facilitate the analysis and prediction of radio signal path loss in unmanned aerial vehicle (UAV) communication scenarios such as the UAVRadio Python module proposed by [16].…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Environmental Impact on Drone Datalink Communication System

Bennageh,

Mahmoudi,

Hajjaji

et al. 2024

Modelling and Simulation in Engineering

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In this study, we introduce an innovative model for evaluating the impact of environmental factors on drone-to-ground control station datalink communications. Our approach integrates both deterministic and stochastic processes to account for small-scale and large-scale fading effects, encompassing propagation attenuation, the Rician fading model, and Gaussian noise to accurately reflect real-world conditions. The model is implemented on signals transmitted using spread spectrum modulation. Through a comparative analysis of the model’s predictions against actual signals received in three distinct environments, the model’s efficacy in diverse scenarios is affirmed. Error metrics obtained from Monte Carlo simulations are employed to validate the theoretical results against experimental data. The proposed approach is pivotal for predicting the transmission range and understanding the electromagnetic susceptibility of the datalink, offering a substantial contribution to the optimization of remote drone control.

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Unmanned Aerial Vehicle Propagation Datalink Tool Based on a Hybrid Multiscale Modeling

Cited by 2 publications

References 0 publications

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

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

Predictive Modeling of Environmental Impact on Drone Datalink Communication System

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