A Novel Piecewise Linear Recursive Convolution Approach for Dispersive Media Using the Finite-Difference Time-Domain Method

Iraklis Giannakis, Antonios Giannopoulos

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
1 Downloads (Pure)

Abstract

Abstract—Two novel methods for implementing recursively the convolution between the electric field and a time dependent electric susceptibility function in the finite-difference time domain (FDTD) method are presented. Both resulting algorithms are straightforward to implement and employ an inclusive susceptibility function which holds as special cases the Lorentz, Debye, and Drude media relaxations. The accuracy of the new proposed algorithms is found
to be systematically improved when compared to existing standard piecewise linear recursive convolution (PLRC) approaches, it is conjectured that the reason for this improvement is that the new proposed algorithms do not make any assumptions about the time variation of the polarization density in each time interval; no finite difference or semi-implicit schemes are used for the calculation of the polarization density. The only assumption that these two new
methods make is that the first time derivative of the electric field is constant within each FDTD time interval.
Original languageEnglish
Pages (from-to)2669-2678
Number of pages10
JournalIEEE Transactions on Antennas and Propagation
Volume62
Issue number5
Early online date26 Feb 2014
DOIs
Publication statusPublished - May 2014

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