Electromagnetic Noise Source Approximation for Finite-Difference Time-Domain Modeling Using Near-Field Scanning and Particle Swarm Optimization

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Title Electromagnetic Noise Source Approximation for Finite-Difference Time-Domain Modeling Using Near-Field Scanning and Particle Swarm Optimization
Author Scriven, Ian; Lu, Junwei; Lewis, Andrew
Journal Name IEEE Transactions on Electromagnetic Compatibility
Year Published 2010
Place of publication United States
Publisher IEEE
Abstract This paper presents an electromagnetic noise source approximation method based on a 2-D array of electric dipoles for use in finite-difference time-domain simulations. The currents (both magnitude and phase) of these dipoles are optimized via a particle swarm algorithm so as to minimize the difference between the magnetic near-field produced by the dipole array and the magnetic near-field produced by the device under test. The method presented requires only the magnitude of the magnetic field to be measured, simplifying the measurement process. The new noise source modeling method has been applied to a transmission-line test case, demonstrating the performance and accuracy of the method.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/TEMC.2009.2036251
Copyright Statement Copyright 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Volume 52
Issue Number 1
Page from 89
Page to 97
ISSN 0018-9375
Date Accessioned 2011-01-05
Date Available 2011-03-17T06:56:31Z
Language en_AU
Research Centre Centre for Wireless Monitoring and Applications; Queensland Micro and Nanotechnology Centre
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Electrical and Electronic Engineering
URI http://hdl.handle.net/10072/37362
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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