DocumentCode :
1506016
Title :
Stochastic FDTD for Analysis of Statistical Variation in Electromagnetic Fields
Author :
Smith, Steven M. ; Furse, Cynthia
Author_Institution :
L3 Commun., Salt Lake City, UT, USA
Volume :
60
Issue :
7
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
3343
Lastpage :
3350
Abstract :
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).
Keywords :
Monte Carlo methods; approximation theory; electromagnetic field theory; finite difference time-domain analysis; statistical analysis; stochastic processes; 1D bioelectromagnetic; 1D derivation; Monte Carlo analysis; S-FDTD analysis; electrical property uncertainty; electromagnetic fields; field cross correlations; reflection coefficient; statistical variation analysis; stochastic FDTD method; stochastic finite difference time domain method; truncated Taylor series approximations; Approximation methods; Correlation; Equations; Finite difference methods; Mathematical model; Monte Carlo methods; Time domain analysis; Delta method; Monte Carlo; finite-difference time-domain (FDTD); statistics; stochastic FDTD (S-FDTD); variance;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2012.2196962
Filename :
6193136
Link To Document :
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