2006
DOI: 10.2200/s00018ed1v01y200604cem003
|View full text |Cite
|
Sign up to set email alerts
|

Higher Order FDTD Schemes for Waveguide and Antenna Structures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
29
0
3

Year Published

2007
2007
2018
2018

Publication Types

Select...
6
3
1

Relationship

1
9

Authors

Journals

citations
Cited by 40 publications
(32 citation statements)
references
References 281 publications
0
29
0
3
Order By: Relevance
“…broadband dispersion error, anisotropy) methods have been developed, e.g. in [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…broadband dispersion error, anisotropy) methods have been developed, e.g. in [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…Although different treatments in ADE are required for different kinds of dispersive media, the arithmetic used in ADE is much easier than those used in other FDTD methods toward dispersive media [39]. Furthermore, instead of using the traditional second-order FDTD, the fourth-order spatial central difference approximation technique is applied in this paper in order to reduce the numerical dispersion error and achieve high accuracy [40,41]. The high-order ADE-FDTD method is briefly introduced as follows.…”
Section: Auxiliary Differential Equation Finite-difference Timedomainmentioning
confidence: 99%
“…Under these conditions, the FDTD scheme is stable, and the grid function U (j, k, m) converges to the solution U (ρ j , z k , t m ) of the original problem (1). The approximation error is O(h 2 ), but could be improved for example using higher order schemes [33]. In order to achieve the desired second-order accuracy, all integrals are computed using the composite trapezoid rule and all one-sided firstorder derivatives are approximated using the second-order one-sided finite differences [34].…”
Section: Numerical Implementation and Fft-based Accelerationmentioning
confidence: 99%