A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects

The replacement values to the singularity of fitting Green’s function are intensively researched in Fitting Green’s function Fast Fourier Transformation (FG-FFT). As is shown in the research, the accuracy of fitting Green’s function of near element is affected by different replacement values. The ex...

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Main Authors: Jia-Ye Xie, Guang Yu, Li-Li Pang, Wei-Bin Kong, Zhi-Xiang Huang
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2017/2939702
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spelling doaj-c3c6fcb3a6a348569cf87690792507172020-11-24T22:04:07ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772017-01-01201710.1155/2017/29397022939702A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large ObjectsJia-Ye Xie0Guang Yu1Li-Li Pang2Wei-Bin Kong3Zhi-Xiang Huang4Industrial Center, Nanjing Institute of Technology, Nanjing 211167, ChinaIndustrial Center, Nanjing Institute of Technology, Nanjing 211167, ChinaIndustrial Center, Nanjing Institute of Technology, Nanjing 211167, ChinaState Key Laboratory of Millimeter Waves, Nanjing 210096, ChinaKey Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei 230601, ChinaThe replacement values to the singularity of fitting Green’s function are intensively researched in Fitting Green’s function Fast Fourier Transformation (FG-FFT). As is shown in the research, the accuracy of fitting Green’s function of near element is affected by different replacement values. The experiments show that an appropriate replacement value can improve the accuracy of fitting Green’s function of near element, and it is called the optimal replacement value in this paper. In the case of application of the proposed scheme to FG-FFT, the number of the near correction elements is significantly reduced. Therefore, the optimal replacement scheme can dramatically reduce the memory requirement and computing time in FG-FFT. The experiments show that, compared with traditional random replacement schemes, the optimal replacement scheme can reduce the number of the near correction elements by about 55%~60% and greatly improve the computational efficiency of FG-FFT.http://dx.doi.org/10.1155/2017/2939702
collection DOAJ
language English
format Article
sources DOAJ
author Jia-Ye Xie
Guang Yu
Li-Li Pang
Wei-Bin Kong
Zhi-Xiang Huang
spellingShingle Jia-Ye Xie
Guang Yu
Li-Li Pang
Wei-Bin Kong
Zhi-Xiang Huang
A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects
International Journal of Antennas and Propagation
author_facet Jia-Ye Xie
Guang Yu
Li-Li Pang
Wei-Bin Kong
Zhi-Xiang Huang
author_sort Jia-Ye Xie
title A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects
title_short A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects
title_full A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects
title_fullStr A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects
title_full_unstemmed A Novel Scheme with FG-FFT for Analysis of Electromagnetic Scattering from Large Objects
title_sort novel scheme with fg-fft for analysis of electromagnetic scattering from large objects
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2017-01-01
description The replacement values to the singularity of fitting Green’s function are intensively researched in Fitting Green’s function Fast Fourier Transformation (FG-FFT). As is shown in the research, the accuracy of fitting Green’s function of near element is affected by different replacement values. The experiments show that an appropriate replacement value can improve the accuracy of fitting Green’s function of near element, and it is called the optimal replacement value in this paper. In the case of application of the proposed scheme to FG-FFT, the number of the near correction elements is significantly reduced. Therefore, the optimal replacement scheme can dramatically reduce the memory requirement and computing time in FG-FFT. The experiments show that, compared with traditional random replacement schemes, the optimal replacement scheme can reduce the number of the near correction elements by about 55%~60% and greatly improve the computational efficiency of FG-FFT.
url http://dx.doi.org/10.1155/2017/2939702
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