Abstract
Electromagnetic radiations in complex electronic systems such as cell phones and computers are complex spatial oral correlations signals. Decomposing the electromagnetic radiation measured in the spatial oral domain is useful to gain physical insights into the process that generates radio frequency interference and the radiated spurious emission. In this article, a novel data-driven characterization method is proposed to analyze the electromagnetic radiations of both linear and nonlinear circuits. It employs the dynamic mode decomposition to simultaneously extract the temporal patterns and their corresponding dynamic modes. The temporal patterns show high-order harmonics generated by the nonlinearity. Then, these spatial oral coherent patterns provide the physical meaning of the radiation and fast predictions of future states in the circuit and electromagnetic systems. Two benchmarks, including victim and aggressor lines and the Schottky diode, are provided to demonstrate the validity of the proposed new analysis method. Finally, a discussion on the advantages and practical applications of the proposed method is addressed.
Recommended Citation
Y. Zhang and L. Jiang, "A Novel Data-Driven Analysis Method For Electromagnetic Radiations Based On Dynamic Mode Decomposition," IEEE Transactions on Electromagnetic Compatibility, vol. 62, no. 4, pp. 1443 - 1450, article no. 9115261, Institute of Electrical and Electronics Engineers, Aug 2020.
The definitive version is available at https://doi.org/10.1109/TEMC.2020.2994934
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Dynamic mode decomposition (DMD); nonlinear circuits; prediction; radiated spurious emission; reconstruction
International Standard Serial Number (ISSN)
1558-187X; 0018-9375
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Aug 2020
