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Electromagnetic fields and its error distribution predicted from magnetic field measured around metallic enclosure by using inverse–forward analysis

✍ Scribed by Shose Hayashi; Koichiro Masuda; Kenichi Hatakeyama; Eimei Shu


Book ID
102661065
Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
589 KB
Volume
83
Category
Article
ISSN
8756-663X

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✦ Synopsis


Let us consider the situation in which an electromagnetic wave is leaking through an aperture on a metallic box so that an electromagnetic field distribution is formed outside the box. By measuring the magnetic field distribution on the surface S 1 near the box surface, the current distribution on the metallic box surface can be estimated (inverse analysis). Next, the electromagnetic field distribution on an arbitrary surface S 2 outside the box can be predicted from the product of the above current distribution and a coefficient matrix (forward analysis). In this paper, the greatest likelihood estimation method is used for the inverse analy-sis. When the electromagnetic field distributions on surface S 2 are predicted from the nearby magnetic field distribution by the inverseforward analysis, there appear prediction error distributions that depend on the setting of the lattice meshes on surface S 1 , the box surface, and surface S 2 in addition to the measurement errors. In this paper, the prediction error distributions dependent on the setting are obtained. In order to discuss the effectiveness of the above inverseforward analysis, the magnetic field distribution on surface S 1 where the measurement was carried out is derived by forward analysis from the current distribution on the box as a special case. The results are compared with the measured values. The comparison reveals good agreement.