DocumentCode
1286482
Title
An Effective and Efficient Approach for Radiated Emission Prediction Based on Amplitude-Only Near-Field Measurements
Author
Zhao, Wei-Jiang ; Wang, Bin-Fang ; Liu, En-Xiao ; Park, Hark Byeong ; Park, Hyun Ho ; Song, Eakhwan ; Li, Er-Ping
Author_Institution
Dept. of Electron. & Photonics, Agency for Sci. Technol. & Res. (A*STAR), Singapore, Singapore
Volume
54
Issue
5
fYear
2012
Firstpage
1186
Lastpage
1189
Abstract
A new approach is proposed for modeling electromagnetic emissions of a printed circuit board (PCB) based on amplitude-only near-field measurement data. Magnetic dipoles placed over the top layer of the PCB are introduced as the equivalent of actual radiated sources. A restarted optimization procedure based on a differential evolution algorithm is developed to determine the parameters of the dipoles (number, position, and moment components) via minimizing the difference between the measured magnetic near field and that radiated by the dipoles. These equivalent dipoles can be used to predict the radiated emissions of the PCB once being determined. The proposed approach does not need the phase of the measured near fields, and its computational complexity is very low. Numerical results are presented to demonstrate the validity and efficiency of the proposed approach.
Keywords
computational complexity; magnetic field measurement; magnetic moments; optimisation; printed circuit design; PCB; amplitude-only near-field measurement data; amplitude-only near-field measurements; computational complexity; differential evolution algorithm; electromagnetic emissions; equivalent dipoles; magnetic dipoles; magnetic near field; printed circuit board; radiated emission prediction; Integrated circuit modeling; Noise measurement; Optimization; Printed circuits; Sociology; Statistics; Vectors; Differential evolution; dipole; electromagnetic emission; near-field measurement;
fLanguage
English
Journal_Title
Electromagnetic Compatibility, IEEE Transactions on
Publisher
ieee
ISSN
0018-9375
Type
jour
DOI
10.1109/TEMC.2012.2215874
Filename
6304913
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