The use of Unscented Transforms for statistical analysis in EMC

Author

de Menezes, L.R.A.X. ; Thomas, D.W.P. ; Christopoulos, C. ; Ajayi, A. ; Sewell, P.

Author_Institution

Dept. de Eng. Eletr., Univ. de Brasilia, Brasilia

fYear

2008

fDate

8-12 Sept. 2008

Firstpage

1

Lastpage

5

Abstract

The use of unscented transforms UT for the statistical analysis of nonlinear linear problems is described. The UT methodology is then applied to the analysis of wire coupling within an enclosure which is a typical problem encountered in EMC studies. The UT results are compared with the more traditional Monte Carlo approach. It is demonstrated that UT is a powerful technique that can greatly improve the computation of the uncertainty encountered in many EMC studies.

Keywords

Monte Carlo methods; electromagnetic compatibility; statistical analysis; transforms; EMC; Monte Carlo approach; nonlinear linear problems; statistical analysis; unscented transforms; wire coupling analysis; Discrete transforms; Electromagnetic compatibility; Monte Carlo methods; Nonlinear equations; Polynomials; Probability density function; Probability distribution; Statistical analysis; Taylor series; Uncertainty; EMC; Unscented Transforms; statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Compatibility - EMC Europe, 2008 International Symposium on

Conference_Location

Hamburg

Print_ISBN

978-1-4244-2737-6

Electronic_ISBN

978-1-4244-2737-6

Type

conf

DOI

10.1109/EMCEUROPE.2008.4786803

Filename

4786803