tion distortion; in our case, the finesse can be chosen to be 9 for K s 0.1, K s 0.1, ␥ s 0.15, ␥ s 0.15.
Generation of 3-D finite-difference time-domain macromodels for faster simulation
✍ Scribed by Dmitry A. Gorodetsky; Philip A. Wilsey
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 312 KB
- Volume
- 17
- Category
- Article
- ISSN
- 1096-4290
No coin nor oath required. For personal study only.
✦ Synopsis
Computing time in finite-difference time-domain can be saved by expressing a portion of the grid (macromodel) as an linear time invariant (LTI) system. The output then becomes a convolution of the input with the LTI impulse response. To achieve a constant time for the convolution, the macromodel's response is expressed as a superposition of eigenmodal frequencies. That time is reduced by discarding nonessential eigenmodes. V
📜 SIMILAR VOLUMES
## Abstract A novel approach for the interpolation of dispersive materials for use in the finite‐difference time‐domain (FDTD) method is presented. The method allows for the simulation of geometrical structures that cannot be aligned to the discretized grid. Materials overlapping multiple cells are
Figure 8 Reconstruction of a 2-D configuration of small cylinders. Ž . Ž . a True objects. b Best chromosome of the first generation. Fit-Ž . ness s 0.9963340. c Best chromosome of the 500th generation. Ž . Fitness s 0.9999881. d Best chromosome of the 1000th generation. Ž . Fitness s 0.9999915. e B
The finite difference time domain method is applied for the analysis of coupled microstrip lines with multiple right angle bends. The uniaxial perfectly matched layer (UPML) boundary condition is used to absorb outward waves. The UPML parameters are optimized to obtain absorption of both propagating
## Abstract The increase of the time step size significantly deteriorates the property of the coefficient matrix generated from the Crank‐Nicolson finite‐difference time‐domain (CN‐FDTD) method. As a result, the convergence of classical iterative methods, such as generalized minimal residual method