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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Online Access: | http://dx.doi.org/10.1155/2017/2939702 |
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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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