DocumentCode
32139
Title
A Hybrid Method for Analyzing Scattering from PEC Bodies Straddling a Half-Space Interface
Author
Wan Luo ; Zaiping Nie ; Chen, Yongpin P.
Author_Institution
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
14
fYear
2015
fDate
2015
Firstpage
474
Lastpage
477
Abstract
In this letter, a novel hybrid method is proposed to efficiently analyze the electromagnetic (EM) scattering from arbitrarily shaped, perfect electrically conducting (PEC) bodies that penetrate the interface of a half-space. Due to different integrands involved in the reflection- and transmission-type Green´s functions, a partition scheme is introduced where the adaptive cross approximation (ACA) and the multilevel fast multipole algorithm (MLFMA) are integrated seamlessly. In this scheme, different fast solvers are invoked automatically to achieve an optimal efficiency. The reconstruction of the Green´s function via an image-based translational addition theorem is first investigated, and the empirical partitioning parameters are suggested. The performance of this hybrid method is then examined via two examples, including a benchmark target and a more realistic scenario in the near-surface scattering.
Keywords
Green´s function methods; electromagnetic wave reflection; electromagnetic wave scattering; electromagnetic wave transmission; ACA; EM scattering; MLFMA; PEC body straddling; adaptive cross approximation; arbitrarily shaped perfect electrically conducting body; benchmark target; electromagnetic scattering; empirical partitioning parameter; half-space interface; image-based translational; multilevel fast multipole algorithm; near-surface scattering; reflection-type Green function; transmission-type Green function; Acceleration; Accuracy; Approximation methods; Electromagnetic scattering; Green´s function methods; Method of moments; Adaptive cross approximation (ACA); electromagnetic scattering; fast algorithms; half-space; hybrid method; integral equation method; multilevel fast multipole algorithm (MLFMA);
fLanguage
English
Journal_Title
Antennas and Wireless Propagation Letters, IEEE
Publisher
ieee
ISSN
1536-1225
Type
jour
DOI
10.1109/LAWP.2014.2368772
Filename
6949623
Link To Document