Analytical Intra-System EMI Model using Dipole Moments and Reciprocity
Abstract
The dipole moment-based reciprocity to model intra-system electromagnetic interference (EMI) in wireless devices is proposed in this paper. In this model, the decomposition method based on reciprocity is used to calculate the coupling voltage on the victim antenna. The original noise source is replaced by equivalent dipole moments in the forward problem while electromagnetic fields on the locations of dipole moments are scanned in the reverse problem. The proposed model has been validated with full-wave simulations and measurements; it provides not only convenience to estimate radio-frequency interference (RFI), but also physical insight to understand the intra-system EMI problem.
Recommended Citation
S. Lee et al., "Analytical Intra-System EMI Model using Dipole Moments and Reciprocity," Proceedings of the 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (2018, Singapore, Singapore), pp. 1169 - 1173, Institute of Electrical and Electronics Engineers (IEEE), May 2018.
The definitive version is available at https://doi.org/10.1109/ISEMC.2018.8393972
Meeting Name
2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC (2018: May 14-18, Singapore, Singapore)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Dipole moment; Electromagnetic interference; Radio frequency interference; Reciprocity
International Standard Book Number (ISBN)
978-1-5090-5997-3
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 May 2018
Comments
This work was supported in part by the National Science Foundation under Grant No. IIP-1440110.