MoM-Based Ground Current Reconstruction in RFI Application
Abstract
A method of moment (MoM)-based current reconstruction method is proposed to estimate the surface current density on the ground plane. Current continuity property is automatically enforced with Rao-Wilton-Glisson basis function. Both the least square method and the optimization method are utilized to solve the inverse problem and obtain the ground current. The proposed optimization method is successfully validated with numeric simulations and also a real-world measurement example. The reconstructed current distribution on the ground plane is further used in a typical radio frequency interference (RFI) example to perform RFI estimation and provide guidelines for RFI design. The proposed MoM-based ground current reconstruction method can be valuable to estimate and debug RFI issues in early design stage.
Recommended Citation
Q. Huang et al., "MoM-Based Ground Current Reconstruction in RFI Application," IEEE Transactions on Electromagnetic Compatibility, vol. 60, no. 4, pp. 1121 - 1128, Institute of Electrical and Electronics Engineers (IEEE), Aug 2018.
The definitive version is available at https://doi.org/10.1109/TEMC.2018.2791539
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Antennas; Current density; Electric currents; Estimation; Frequency estimation; Least squares approximations; Mathematical models; Method of moments (MOM); Optimization; Partial discharges; Radio frequency interference (RFI); Radio waves; Ground currents; Least square methods (LSQ); Optimization method; Radio frequency interference; Inverse problems; Ground current reconstruction
International Standard Serial Number (ISSN)
0018-9375; 1558-187X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Aug 2018
Comments
This work was supported in part by the National Science Foundation under Grant IIP-1440110.