Accuracy of Three Unconditionally-Stable FDTD Schemes for Solving Maxwell's Equations

Abstract

This paper discusses accuracy limitations due to numerical dispersion and time step size for three implicit unconditionally- stable FDTD methods: Alternate-Direction- Implicit (ADI), Crank-Nicolson (CN) and Crank-Nicolson- Douglas-Gunn (CNDG). It is shown that for a uniform mesh, the three methods have the same numerical phase velocity along the axes, but have large differences along the diagonals. The ADI method has two orders-of-magnitude larger anisotropy than that of CN and CNDG. CNDG has no anisotropy at certain Courant numbers and mesh densities. At the limit of zero spatial mesh size, the three methods have different "intrinsic temporal dispersion" for a given time step size: CN has no anisotropy; ADI has positive anisotropy and CNDG has negative anisotropy, which is much smaller than ADI. The Nyquist sampling theorem provides a fundamental upper bound on the time step size for all three methods. It is shown that for ADI and CN the practical upper bound is close to the Nyquist limit, but for CNDG is half the Nyquist limit.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2003
Accession Number
ADP015055

Entities

People

  • Christopher W. Trueman
  • Guilin Sun

Organizations

  • Concordia University

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Amplification
  • Anisotropy
  • Antennas
  • Complex Numbers
  • Computational Science
  • Dispersion Relations
  • Dispersions
  • Electromagnetic Fields
  • Equations
  • Finite Difference Time Domain
  • Fluid Mechanics
  • Magnetic Fields
  • Phase Velocity
  • Three Dimensional
  • Time Domain
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Electrochemical Surface Science
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)