Comparison between two phase-retrieval methods for electromagnetic source modeling

Johansson, Markus, Fhager, Andreas, Lui, Hoi-Shun and Persson, Mikael (2011) Comparison between two phase-retrieval methods for electromagnetic source modeling. Progress in Electromagnetic Research B, 30 239-253.

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Author Johansson, Markus
Fhager, Andreas
Lui, Hoi-Shun
Persson, Mikael
Title Comparison between two phase-retrieval methods for electromagnetic source modeling
Journal name Progress in Electromagnetic Research B   Check publisher's open access policy
ISSN 1937-6472
Publication date 2011
Sub-type Article (original research)
Open Access Status File (Publisher version)
Volume 30
Start page 239
End page 253
Total pages 15
Place of publication Cambridge, MA, United States
Publisher Electromagnetics Academy
Language eng
Abstract Phase-retrieval from measured phaseless field data is of interest for various applications including electromagnetic dosimetry, electromagnetic compatibility investigations, near-field to far-field transformations and antenna diagnostics. In this study two phase-retrieval methods, namely the adjoint field method and the phase angle gradient method, are compared using 3D numerical test cases. The methods were previously presented by us, but the adjoint field method was at that time only implemented in 2D. In this study the adjoint field method has been extended to 3D, which makes it possible to test the method for more realistic test cases and to compare it with the phase angle gradient method. The results show that the phase angle gradient method is able to retrieve the phase with better accuracy than the adjoint field method. Moreover it gives results that agree well with correct phase. The phase angle gradient method was also tested with measured magnetic field. The obtained phase angles on a measurement plane in front of the source gave calculated field amplitudes that agree well with measured field.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Created: Thu, 11 Apr 2013, 13:44:33 EST by Antony Lui on behalf of School of Information Technol and Elec Engineering