Title :
Direct Computation of Statistical Variations in Electromagnetic Problems
Author :
Ajayi, Ajibola ; Ingrey, Philip ; Sewell, Phillip ; Christopoulos, Christos
Author_Institution :
George Green Inst. of Electromagn. Res., Univ. of Nottingham, Nottingham
fDate :
5/1/2008 12:00:00 AM
Abstract :
This paper presents a computationally efficient approach to performing electromagnetic simulations in the presence of statistically defined uncertainties caused by either material in- homogeneities, or fabrication and placement tolerances. Comparisons are made with results from Monte Carlo simulations and a sequence of higher order approximation extensions to the technique. It is shown that accurate results are possible within practical computational limits for the case of small parameter variations.
Keywords :
Monte Carlo methods; computational electromagnetics; sequences; Monte Carlo simulation; electromagnetic simulation; higher order approximation; sequences; statistical variation; Computational modeling; Electromagnetic compatibility; Fabrication; Monte Carlo methods; Predictive models; Rough surfaces; Solid modeling; Statistical analysis; Transmission line matrix methods; Uncertainty; Monte Carlo methods; statistical methods; transmission line matrix (TLM) methods;
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
DOI :
10.1109/TEMC.2008.921039