Abstract
A parallelized multilevel fast multipole algorithm (MLFMA) is presented for simulating electromagnetic scattering from complex targets with anisotropic impedance surfaces. By employing both surface electric and magnetic currents as unknowns and weakly enforcing the anisotropic impedance boundary condition, a combined integral equation is formulated to generate a set of well-conditioned linear systems to be solved by MLFMA. To further improve the iterative convergence of the linear systems, a parallel sparse approximate inverse preconditioner is constructed from the near-field interaction of the system matrix. The MLFMA is parallelized to enable computation on a large number of processors for large-scale problems. Several numerical examples are presented to validate the algorithm and demonstrate its accuracy, scalability, and capability in handling large complex objects with anisotropic impedance surfaces.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 107-119 |
| Number of pages | 13 |
| Journal | International Journal of Numerical Modelling: Electronic Networks, Devices and Fields |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1 2015 |
Keywords
- Anisotropic impedance boundary condition
- Electromagnetic scattering
- Integral equation
- Parallel multilevel fast multipole algorithm
- Parallel sparse approximate inverse preconditioner
ASJC Scopus subject areas
- Modeling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering