Computational modeling of uncertainty in time-domain electromagnetics

We discuss computationally efficient ways of accounting for the impact of uncertainty, e.g., lack of detailed knowledge about sources, materials, shapes etc, in computational time-domain electromagnetics. In contrast to classic statistical Monte Carlo based methods, we explore a probabilistic approach based on high-order accurate expansions of general stochastic processes. We show this to be highly efficient and accurate on both one- and two-dimensional examples, enabling the computation of global sensitivites of measures of interest, e.g., radar-cross-sections (RCS) in scattering applications, for a variety of types of uncertainties.


Published in:
2005 Workshop on Computational Electromagnetics in Time-Domain (CEM-TD), 32-35
Presented at:
2005 Workshop on Computational Electromagnetics in Time-Domain (CEM-TD), New York
Year:
2005
Publisher:
IEEE
ISBN:
0-7803-9543-3
Note:
Workshop on Computational Electromagnetics in Time-Domain, Georgia Tech, Technol Square Res Bldg, Atlanta, GA, SEP 12-14, 2005
Laboratories:




 Record created 2013-11-12, last modified 2018-09-13


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