An Efficient Hybrid Method of CBFM/AIM and Equivalent Dipole Moment for Computation of Electromagnetic Scattering Problems

A new hybrid method CBFM/AIM-EDM is introduced to analyze the bistatic radar cross section (BCS) of perfect electrical conductor (PEC) scatterers. This method efficiently treats electromagnetic scattering problems from discrete objects using the electric field integral equation (EFIE). Initially, CBFM divides the target into multiple subdomains, with each subdomain is enclosed with its respective local Cartesian grid. Then, the macro basis functions within each subdomain are transformed into the local Cartesian grid. The AIM is utilized to accelerate the construction of CBFs, and the matrix vector multiplication process in the reduced matrix is carried out by the fast Fourier transform (FFT). In addition, the equivalent dipole moment (EDM) is introduced to speed up the calculation of the interaction between subdomains. Numerical results show that the proposed method successfully addresses the problem that conventional AIM is only suitable for computing targets with dense distributions of unknowns. This approach not only avoids the waste of numerous auxiliary grid points and lowers memory demands but also enhances computational efficiency and the convergence rate of the iterative process.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2024-08-26
DOI
https://doi.org/10.1109/tap.2024.3445579
Citations
2
Primary Topic
Electromagnetic Scattering and Analysis
Type
article
Field-Weighted Citation Impact
0.68

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Efficient Hybrid Method of CBFM/AIM and Equivalent Dipole Moment for Computation of Electromagnetic Scattering Problems

Wei Lin, Chunheng Liu, Xing Wang, Ying Liu et al.
2 citations
IEEE Transactions on Antennas and Propagation
Electromagnetic Scattering and Analysis
0.68
article

An Efficient Hybrid Method of CBFM/AIM and Equivalent Dipole Moment for Computation of Electromagnetic Scattering Problems

Wei Lin, Chunheng Liu, Xing Wang, Ying Liu, Zhou Xu, Lin Chen, Yi Zeng
article en
2 citations

Abstract

A new hybrid method CBFM/AIM-EDM is introduced to analyze the bistatic radar cross section (BCS) of perfect electrical conductor (PEC) scatterers. This method efficiently treats electromagnetic scattering problems from discrete objects using the electric field integral equation (EFIE). Initially, CBFM divides the target into multiple subdomains, with each subdomain is enclosed with its respective local Cartesian grid. Then, the macro basis functions within each subdomain are transformed into the local Cartesian grid. The AIM is utilized to accelerate the construction of CBFs, and the matrix vector multiplication process in the reduced matrix is carried out by the fast Fourier transform (FFT). In addition, the equivalent dipole moment (EDM) is introduced to speed up the calculation of the interaction between subdomains. Numerical results show that the proposed method successfully addresses the problem that conventional AIM is only suitable for computing targets with dense distributions of unknowns. This approach not only avoids the waste of numerous auxiliary grid points and lowers memory demands but also enhances computational efficiency and the convergence rate of the iterative process.

IEEE Transactions on Antennas and PropagationVol. 72(10)
Hong Kong Polytechnic University (HK), Xidian University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 32%
Electromagnetic Scattering and Analysis
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.