2022
DOI: 10.1109/access.2021.3138296
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Characteristic Mode Analysis Prediction and Guidance of Electromagnetic Coupling Measurements to a UAV Model

Abstract: In this work, we study the current coupled to a simplified Unmanned Aerial Vehicle (UAV) model using a dual computational and experimental approach. The simplified surrogate structure reduced the computational burden and facilitated the experimental measurement of the coupled currents. For a practical system, a wide range of simulations and measurements must be performed to analyze the induced current variations with respect to properties of the incident excitation waveform such as the frequency, angle of inci… Show more

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Cited by 6 publications
(5 citation statements)
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References 41 publications
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“…Similarly, front door coupling effects due to a UAV's antennna is due to RF and it was identifed by Hamdalla [25] that a dipole antenna excited by a Gaussian input pulse with a certain input voltage induces a higher output voltage on a UAV's payload at specific frequencies. The study also highlights the significance of placing the dipole antenna at two different orientations (90 or 45 degrees) and their effects on the magnitude of induced voltages.…”
Section: ) Coupling Effectsmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, front door coupling effects due to a UAV's antennna is due to RF and it was identifed by Hamdalla [25] that a dipole antenna excited by a Gaussian input pulse with a certain input voltage induces a higher output voltage on a UAV's payload at specific frequencies. The study also highlights the significance of placing the dipole antenna at two different orientations (90 or 45 degrees) and their effects on the magnitude of induced voltages.…”
Section: ) Coupling Effectsmentioning
confidence: 99%
“…Fig. 44, 45 and 46 respectively shows the MAPE vs Run Time for S 10 P i , S 30 P i , S 60 P i : using 10s, 30s and 60s of historical data to predict i= [5,10,15,20,25,30] seconds of battery power drain in future for the different regression algorithms, allowing comparison of the prediction accuracy and Run Time(s) across models. Lower MAPE scores indicate better model performance but we also care for the Run Time(s) as we are predicting seconds of data in the future, so we also need a model which runs fast enough.…”
Section: Feature Set and Model Selectionmentioning
confidence: 99%
“…UAVs also play a major role in electromagnetic coupling measurements, as it was shown in [ 18 ]. The authors of this paper described how UAVs operate in congested wireless environments that, when used in certain application domains (i.e., mobile base stations) exacerbate electromagnetic compatibility (EMC) and/or electromagnetic interference (EMI).…”
Section: Related Workmentioning
confidence: 99%
“…CMA has been extensively employed in designing antennas and analyzing the electromagnetic scattering characteristics of various structures [14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Moreover, we recently employed CMA to study coupling and interference to wires and other 2-D structures [28][29][30]. However, applying CMA for complex shapes composed of one or more dielectric materials is still under development [31][32][33][34][35][36][37].…”
Section: Introductionmentioning
confidence: 99%