E09: Stochastic Techniques in EMC (2)

Thursday, August 21  09:40-12:00,  Room #15

Session Chairs: Luk Arnaut, Sergio Pignari

The session will focus on modern approaches for modeling the electromagnetic behavior of large, complex systems from all areas of electrical engineering. Applications include but are not restricted to antenna arrays, metamaterials, RF structures, cabling, and bio-electromagnetics. Even with the growing calculation power of modern computers such configurations cannot be handled by brute force methods only. The analysis needs to be carried out on different scales, covering the entire setup and its global behavior on the one hand, and the level where the detailed electromagnetic interaction takes place on the other hand. Moreover, engineers are actually interested in the sensitivity of such devices to manufacturing tolerances, in the effects of a stochastically varying environment, or even in synthesis of part of such a geometry. Therefore, the capability of analyzing electromagnetic fields in large, complex structures is only the first step towards meeting their needs. Both original ideas to approach this problem and applications of existing methods to actual structures from the practice of electrical engineering will be covered.

9:40  E09.1   ON THE NEAR-FIELD TO FAR-FIELD TRANSFORMATION FOR THE STOCHASTIC ASSESSMENT OF UNINTENTIONAL ELECTROMAGNETIC RADIATORS

B. Menssen, M. Mleczko, H. Garbe

Institute for Electrical Engineering and Measurement Technology / Leibniz Universität Hannover, Hannover, Germany


10:00  E09.2   THE INFLUENCE OF LAG-1 AUTOCORRELATIONS ON GOODNESS-OF-FIT TESTS FOR REVERBERATION CHAMBERS

R. Serra1, A. Cozza2, F. Monsef2

1Eindhoven University of Technology, Eindhoven, Netherlands
2Dèpartement de Recherche en Electromagnètisme SUPELEC, Gif-sur-Yvette, France


10:20  E09.3   REPRESENTATION OF RANDOM ELECTROMAGNETIC FIELDS THROUGH A CORRELATED PLANE-WAVE SPECTRUM

G. Gradoni1, L. R. Arnaut2

1School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom
2George Green Institute for Electromagnetics Research, University of Nottingham, Nottingham, United Kingdom


10:40  E09.4   STOCHASTIC EMI SOURCES LOCALIZATION BASED ON TIME DOMAIN NEAR-FIELD DATA

A. Gorbunova, M. Konovalyuk, A. Baev, Y. Kuznetsov

Theoretical Radio Engineering Department, Moscow Aviation Institute (National Research University), Moscow, Russian Federation


11:00  E09.5   EFFICIENT CHARACTERIZATION OF STOCHASTIC ELECTROMAGNETIC FIELDS USING EIGENVALUE DECOMPOSITION AND PRINCIPAL COMPONENT ANALYSIS METHODS

T. Asenov, J. A. Russer, P. Russer

Institute for Nanoelectronics, Munich University of Technology, Munich, Germany


11:20  E09.6   AN ADAPTIVE HIERARCHICAL SPARSE GRID COLLOCATION METHOD FOR STOCHASTIC SCATTERING SYSTEMS ANALYSIS

P. Li

University of Hong Kong, Hong Kong, China


11:40  E09.7   A CLOSED-FORM LOW-FREQUENCY STATISTICAL MODEL FOR FIELD-TO-WIRE COUPLING IN TWISTED-WIRE PAIRS WITH NON-IDEAL TWISTING

G. Spadacini, F. Grassi, S. A. Pignari

Dept. of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy