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
Link To Document :
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