Finite-Difference Time-Domain Calculations Based on Recursive Convolution Approach for Propagation of Electromagnetic Waves in Nonlinear Dispersive Media

Abstract

The piecewise linear recursive convolution (PLRC) approach has been shown to provide much improved accuracy over the usual discrete recursive convolution approach while retaining the efficient use of computer memory storage and fast computational speed for finite-difference time-domain (FDTD) electromagnetic propagation calculations for linear dispersive materials. In this paper, an idea behind the implementation of the PLRC approach is extended to handle nonlinear dispersive media, specifically for the convolution integral that depends on the product of the electric field squared and the third-order electric susceptibility function. Compared to linear dispersive material, where one has a simple linear relationship for the next time step electric field as a function of the previous time step electric field, the nonlinear dispersive material case has a cubic equation for the next time step electric field as a function of the previous time step electric field. Consequently, the cubic equation must be solved at successive times to advance the electric field in the next time step.

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Document Details

Document Type
Technical Report
Publication Date
Oct 30, 1997
Accession Number
ADA336967

Entities

People

  • Jeff Macgillivray
  • S. J. Yakura

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computational Science
  • Computer Simulations
  • Convolution
  • Convolution Integrals
  • Differential Equations
  • Electric Fields
  • Equations
  • Finite Difference Time Domain
  • Frequency
  • Integrals
  • Materials
  • Numerical Analysis
  • Simulations
  • Solitons
  • Time Domain

Readers

  • Approximation Theory.
  • Plasma Physics / Magnetohydrodynamics
  • Wave Propagation and Nonlinear Chaotic Dynamics.