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 incidence, and polarization. To simplify this analysis, Characteristic Mode Analysis (CMA) was used to compute the eigen-currents of the UAV model and predict where and under which RF excitation conditions the coupled current is maximized. We verified these predictions using direct experimental measurement of the coupled currents. The presented simulations and measurements show the usefulness of CMA for studying electromagnetic coupling to practical systems.
Recommended Citation
M. Z. Hamdalla et al., "Characteristic Mode Analysis Prediction and Guidance of Electromagnetic Coupling Measurements to a UAV Model," IEEE Access, vol. 10, pp. 914 - 925, Institute of Electrical and Electronics Engineers (IEEE), Jan 2022.
The definitive version is available at https://doi.org/10.1109/ACCESS.2021.3138296
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
Characteristic Mode Analysis (CMA); Current Measurement; Electromagnetic Coupling; Electromagnetic Interference; Unmanned Aerial Vehicles (UAVs)
International Standard Serial Number (ISSN)
2169-3536
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2022 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
05 Jan 2022
Comments
This work was supported in part by office of naval research (ONR) under Grant N00014-17-1-2932 and Grant N00014-17-1-3016, and in part by the University of Missouri--Kansas City, School of Graduate Studies Research Award.