Weighted DDM Enhanced by Fast Algorithm for Scattering from Large Metallic Targets

In this paper, A weighted Domain Decomposition Method (Weighted DDM) enhanced by the hybrid fast algorithm, i.e. the multilevel accelerated Cartesian expansion-multilevel fast multipole algorithm (MLACE-MLFMA), is adopted to analyze the electromagnetic scattering from large metallic targets. In the...

Full description

Saved in:
Bibliographic Details
Published in2020 IEEE International Conference on Computational Electromagnetics (ICCEM) pp. 4 - 6
Main Authors Wu, Lifeng, Zhang, Zhipeng, Mao, Hongling, Hu, Jun, Zhao, Yanwen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2020
Subjects
Atmospheric modeling
Computational modeling
Conferences
Electromagnetic scattering
Integral equations
Mathematical models
matrix-vector multiplications (MVMs)
Memory management
MLACE-MLFMA
surface integral equation (SIE)
Weighted DDM
Online AccessGet full text
DOI10.1109/ICCEM47450.2020.9219419

Cover

More Information
Summary:In this paper, A weighted Domain Decomposition Method (Weighted DDM) enhanced by the hybrid fast algorithm, i.e. the multilevel accelerated Cartesian expansion-multilevel fast multipole algorithm (MLACE-MLFMA), is adopted to analyze the electromagnetic scattering from large metallic targets. In the computational scheme, the surface integral equation (SIE) is adopted and the MLACE-MLFMA is utilized to accelerate the matrix-vector multiplications (MVMs). Compared with the unenhanced weighted DDM, the computational efficiency has been largely improved which can be demonstrated by the numerical results.
DOI:10.1109/ICCEM47450.2020.9219419