An Augmented Y-parameter Method for Macromodeling Electromagnetic Structures in the Presence of Plane-Waves

Das, Arkaprovo; Campbell, Sawyer D.; Werner, Douglas H.

doi:10.1109/ap-s/usnc-ursi47032.2022.9887307

Cited by 1 publication

(1 citation statement)

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“…However, most prior studies focused on simple wire and trace configurations. Yet, recent studies are still actively improving the computation efficiency of the ECA [43]. Recently, network CMA has been employed to calculate the equivalent circuit of complex systems [44].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Compatibility Analysis of Quadcopter UAVs Using the Equivalent Circuit Approach

Hamdalla

Caruso

Hassan

2022

IEEE Open J. Antennas Propag.

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Studying the electromagnetic compatibility of an Unmanned Aerial Vehicle (UAV) using full-wave electromagnetic simulations is computationally challenging. A UAV can exhibit unintentional coupling from far-field sources as well as from sources in its close vicinity. For example, in many applications, the UAV carries a payload that consists of a transmitting antenna to communicate/characterize receivers on the ground. Therefore, there is a strong need for an accurate and rapid technique to quantify RF coupling to the UAV subcomponents due to a wide range of incident electromagnetic radiation. In this work, we study RF coupling to a quadcopter UAV in a computationally efficient manner using the Equivalent Circuit Approach (ECA). The ECA is based on modeling the direct coupling to the wiring system with a Thevenin equivalent circuit terminated with the load under test. We study different circuit representations for this Thevenin equivalent circuit and show the advantages of each representation. Moreover, the equivalent circuit of the UAV wires is used to study different linear/nonlinear loads in a fraction of the time required by full-wave simulations. In addition, we show how the ECA provides physical insight that can facilitate the prediction of RF coupling to a UAV and other complex systems.

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Section: Introductionmentioning

confidence: 99%