Communication An Efficient 3-D Stochastic HIE-FDTD Algorithm for Investigation of Statistical Variation in Electromagnetic Fields

Kaikun Niu, Zhixiang Huang, Xingang Ren, Ke Xu, Minquan Li, Xianliang Wu, Ping Li, Lijun Jiang, Hakan Bagci

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We propose a stochastic hybrid implicit-explicit finitedifference time-domain method (S-HIE-FDTD) to compute the mean and variance of the electromagnetic fields using a single simulation, given those of the conductivity and permittivity in the computation domain. The mean and variance field update equations underlying the proposed method are derived from the field update equations of the “traditional” deterministic HIE-FDTD. The Courant-Friedrichs-Lewy condition of the S-HIE-FDTD depends on the spatial discretization sizes only in two dimensions, therefore for computation domains with fine geometric features only in the remaining dimension, it uses a time step size that is larger than that of fully explicit schemes. Indeed, numerical results demonstrate that the proposed method is faster than the previously developed stochastic FDTD in computing the mean and variance of the electromagnetic fields in two different problems: wave propagation through a multi-layer human tissue and transmission through a frequency selective surface.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Antennas and Propagation
DOIs
StatePublished - 2020

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