Radiated Noise Source Characterization based on Magnitude-Only Near Field
Abstract
Accurate noise source characterization is critical in increasing the accuracy of desense simulations. However, characterization of the emission sources in full-wave simulations often lacks accuracy. In this paper, a fast and accurate method to extract equivalent dipole moments of radiated noise sources is proposed. The proposed method uses the genetic algorithm to optimize the position and type of dipoles, and it also uses a back-and-forth iteration algorithm to retrieve phase based on the magnitude information of two observation planes with different heights. Compared with the traditional equivalent dipole extraction algorithms, this method can minimize the number of reconstructed dipoles and avoid the complicated and time-consuming phase measurement. This method is verified by comparing the measurement and simulation of coupled noise from an image sensor to a nearby cellular antenna.
Recommended Citation
Z. Sun et al., "Radiated Noise Source Characterization based on Magnitude-Only Near Field," Proceedings of the 2021 Joint IEEE International Symposium on EMC/SI/PI, and EMC Europe (2021, Raleigh, NC), pp. 376 - 380, Institute of Electrical and Electronics Engineers (IEEE), Aug 2021.
The definitive version is available at https://doi.org/10.1109/EMC/SI/PI/EMCEurope52599.2021.9559234
Meeting Name
2021 IEEE International Joint Electromagnetic Compatibility Signal and Power Integrity and EMC Europe Symposium, EMC/SI/PI/EMC Europe 2021 (2021: Jul. 26-Aug. 13, Raleigh, NC)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
Electromagnetic Coupling; Equivalent Dipole Reconstruction; Noise Source Characterization
International Standard Book Number (ISBN)
978-166544888-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
13 Aug 2021
Comments
National Science Foundation, Grant IIP-1916535