Title :
A stochastic FDTD method for statistically varying biological tissues
Author :
Smith, Steven M. ; Furse, Cynthia
Author_Institution :
Univ. of Utah, Salt Lake City, UT, USA
Abstract :
An approximate method for determining the statistical properties of an FDTD Analysis has been derived, allowing the determination of the mean and the variance of an FDTD simulation. This stochastic simulator progresses in the same fashion as an FDTD simulation progresses. The variance-wave builds and propagates with reflections occurring at dielectric boundaries. Computer overhead is reduced, i.e. memory and runtime are substantially reduced. Permitting the statistics, i.e. mean and variance to be determined without spending allot of time and computer resources for performing Monte Carlo analysis. This would allow the industry to look at statistical analysis in large 3D model spaces using FDTD, which currently is not being done.
Keywords :
Monte Carlo methods; UHF radio propagation; biological effects of microwaves; biological tissues; finite difference time-domain analysis; statistical analysis; FDTD analysis; FDTD simulation; Monte Carlo analysis; approximate method; computer overhead reduction; dielectric boundaries; large 3D model spaces; statistical analysis; statistical properties; statistically varying biological tissues; stochastic FDTD method; stochastic simulator; variance-wave; Approximation methods; Computational modeling; Equations; Finite difference methods; Mathematical model; Monte Carlo methods; Time domain analysis;
Conference_Titel :
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location :
Spokane, WA
Print_ISBN :
978-1-4244-9562-7
DOI :
10.1109/APS.2011.5996971
