Stochastic FDTD for analysis of statistical variation in electromagnetic fields

Update Item Information
Publication Type pre-print
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Furse, Cynthia M.
Other Author Smith, Steven M.
Title Stochastic FDTD for analysis of statistical variation in electromagnetic fields
Date 2012-01-01
Description This paper describes a new stochastic finite difference time domain (S-FDTD) method for calculating the variance in the electromagnetic fields caused by variability or uncertainty in the electrical properties of the materials in the model. Details of the 1D derivation using truncated Taylor series approximations are given. The S-FDTD analysis is then compared to Monte Carlo analysis for a 1D bioelectromagnetic example. The accuracy of the method is controlled by the approximations for the cross correlations of the fields and electrical properties. In this paper, we are able to bound the variance using cross correlations of 1 (overestimate) and the reflection coefficient (underestimate).
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 60
Issue 7
First Page 3343
Last Page 3350
Dissertation Institution University of Utah
Language eng
Bibliographic Citation Smith, S. M., & Furse, C. (2012). Stochastic FDTD for analysis of statistical variation in electromagnetic fields. IEEE Transactions on Antennas and Propagation, 60(7), no. 6193136, 3343-50.
Rights Management (c)2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 2,072,254 bytes
Identifier uspace,17632
ARK ark:/87278/s6hh73t0
Setname ir_uspace
ID 708062
Reference URL https://collections.lib.utah.edu/ark:/87278/s6hh73t0
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