Source Reconstruction in Near Field Scanning using Inverse MoM for RFI Application
Coupling or electromagnetic interference between different components of a complex electronic product is an important challenge for RF designers. Therefore, reconstruction of unknown fields, especially perpendicular to the scanning plane, is an important issue in the design procedure. A Method of Moment (MoM) based current reconstruction technique is used in this work to reconstruct fields in all planes, especially in perpendicular planes, using given scanning information. Two intended radiators (a bowtie and a ring antenna) and one unintended radiator are used to validate the method. To investigate this method's reaction to noise, all examples have been simulated in a 3D full-wave time domain solver, and white Gaussian noise (SNR =10 dB) is added in a post-processing step. It is shown that this method can accurately predict fields in the direction of given scanning information for any type of source. However, predicted fields in perpendicular planes are only valid for 2D source structures.
H. Rezaei et al., "Source Reconstruction in Near Field Scanning using Inverse MoM for RFI Application," Proceedings of the 2019 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity (2019, New Orleans, LA), pp. 584 - 589, Institute of Electrical and Electronics Engineers (IEEE), Jul 2019.
The definitive version is available at https://doi.org/10.1109/ISEMC.2019.8825241
2019 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2019 (2019: Jul. 22-26, New Orleans, LA)
Electrical and Computer Engineering
Electromagnetic Compatibility (EMC) Laboratory
Second Research Center/Lab
Intelligent Systems Center
Keywords and Phrases
Current Reconstruction; Inverse Method of Moment (MoM); Least Square Method (LSQ)
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jul 2019
This material is based upon work supported by the National Science Foundation (NSF) under Grants IIP-1440110.