DocumentCode :
2394943
Title :
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
Link To Document :
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