Efficient extraction of statistical moments in electromagnetic problems solved with the method of moments

Author

De Menezes, Leonardo R A X ; Ajayi, Ajibola ; Christopoulos, Christos ; Sewell, Phillip ; Borges, Geovany A.

Author_Institution

Univ. de Brasilia, Brasilia

fYear

2007

fDate

Oct. 29 2007-Nov. 1 2007

Firstpage

757

Lastpage

760

Abstract

This work presents the combination of the Unscented Transform (UT) with the Method of Moments (MoM). This combination allows the modeling of uncertainty in electromagnetic computations. The procedure shows results with accuracy similar to the Monte Carlo approach, but using a much smaller number of simulations. This work uses standard MoM based solvers. The validation of the technique used frequency domain tests. The results show good agreement compared to Monte Carlo outcomes with much reduced simulator use.

Keywords

electromagnetic fields; method of moments; statistical analysis; stochastic processes; electromagnetic problems; method of moments; statistical moments; stochastic processes; unscented transform; Computational modeling; Electromagnetic modeling; Finite difference methods; Frequency domain analysis; Moment methods; Monte Carlo methods; Random variables; Stochastic processes; Testing; Uncertainty; Electromagnetic Fields; Moment Methods; Monte Carlo Methods; Stochastic Processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Optoelectronics Conference, 2007. IMOC 2007. SBMO/IEEE MTT-S International

Conference_Location

Brazil

Print_ISBN

978-1-4244-0661-6

Electronic_ISBN

978-1-4244-0661-6

Type

conf

DOI

10.1109/IMOC.2007.4404370

Filename

4404370