An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method

An efficient algorithm is proposed to analyze the electromagnetic scattering problem from a high resolution head model with pixel data format. The algorithm is based on parallel technique and the conjugate gradient (CG) method combined with the fast Fourier transform (FFT). Using the parallel CG-FFT...

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Main Authors: Lei Zhao, Gen Chen
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2014/495057
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author Lei Zhao
Gen Chen
author_facet Lei Zhao
Gen Chen
author_sort Lei Zhao
collection DOAJ
description An efficient algorithm is proposed to analyze the electromagnetic scattering problem from a high resolution head model with pixel data format. The algorithm is based on parallel technique and the conjugate gradient (CG) method combined with the fast Fourier transform (FFT). Using the parallel CG-FFT method, the proposed algorithm is very efficient and can solve very electrically large-scale problems which cannot be solved using the conventional CG-FFT method in a personal computer. The accuracy of the proposed algorithm is verified by comparing numerical results with analytical Mie-series solutions for dielectric spheres. Numerical experiments have demonstrated that the proposed method has good performance on parallel efficiency.
format Article
id doaj-art-622951f5a2c047748893c612439315a6
institution Kabale University
issn 1687-5869
1687-5877
language English
publishDate 2014-01-01
publisher Wiley
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series International Journal of Antennas and Propagation
spelling doaj-art-622951f5a2c047748893c612439315a62025-02-03T06:00:15ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/495057495057An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT MethodLei Zhao0Gen Chen1Center for Computational Science and Engineering, School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 221116, ChinaCenter for Computational Science and Engineering, School of Mathematics and Statistics, Jiangsu Normal University, Xuzhou 221116, ChinaAn efficient algorithm is proposed to analyze the electromagnetic scattering problem from a high resolution head model with pixel data format. The algorithm is based on parallel technique and the conjugate gradient (CG) method combined with the fast Fourier transform (FFT). Using the parallel CG-FFT method, the proposed algorithm is very efficient and can solve very electrically large-scale problems which cannot be solved using the conventional CG-FFT method in a personal computer. The accuracy of the proposed algorithm is verified by comparing numerical results with analytical Mie-series solutions for dielectric spheres. Numerical experiments have demonstrated that the proposed method has good performance on parallel efficiency.http://dx.doi.org/10.1155/2014/495057
spellingShingle Lei Zhao
Gen Chen
An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
International Journal of Antennas and Propagation
title An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
title_full An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
title_fullStr An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
title_full_unstemmed An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
title_short An Efficient Algorithm for EM Scattering from Anatomically Realistic Human Head Model Using Parallel CG-FFT Method
title_sort efficient algorithm for em scattering from anatomically realistic human head model using parallel cg fft method
url http://dx.doi.org/10.1155/2014/495057
work_keys_str_mv AT leizhao anefficientalgorithmforemscatteringfromanatomicallyrealistichumanheadmodelusingparallelcgfftmethod
AT genchen anefficientalgorithmforemscatteringfromanatomicallyrealistichumanheadmodelusingparallelcgfftmethod
AT leizhao efficientalgorithmforemscatteringfromanatomicallyrealistichumanheadmodelusingparallelcgfftmethod
AT genchen efficientalgorithmforemscatteringfromanatomicallyrealistichumanheadmodelusingparallelcgfftmethod