A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface
In this paper, the Adaptive Modified Characteristic Basis Function Method (AMCBFM) is proposed for quickly simulating electromagnetic scattering from a one-dimensional perfectly electric conductor (PEC) rough surface. Similar to the traditional characteristic basis function method (CBFM), Foldy-Lax...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2019/7985421 |
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| author | Jing Jing Wang An Qi Wang Zhi Xiang Huang Tie Zhen Jiang |
| author_facet | Jing Jing Wang An Qi Wang Zhi Xiang Huang Tie Zhen Jiang |
| author_sort | Jing Jing Wang |
| collection | DOAJ |
| description | In this paper, the Adaptive Modified Characteristic Basis Function Method (AMCBFM) is proposed for quickly simulating electromagnetic scattering from a one-dimensional perfectly electric conductor (PEC) rough surface. Similar to the traditional characteristic basis function method (CBFM), Foldy-Lax multiple scattering equations are applied in order to construct the characteristic basis functions (CBFs). However, the CBFs of the AMCBFM are different from those of the CBFM. In the AMCBFM, the coefficients of the CBFs are first defined. Then, the coefficients and the CBFs are used to structure the total current, which is used to represent the induced current along the rough surface. Moreover, a current criterion is defined to adaptively halt the order of the CBFs. The validity and efficiency of the AMCBFM are assessed by comparing the numerical results of the AMCBFM with the method of moments (MoM). The AMCBFM can effectively reduce the size of the matrix, and it costs less than half the CPU time used by the MoM. Moreover, by comparing it with the traditional CBFM, the AMCBFM can guarantee the accuracy, reduce the number of iterations, and achieve better convergence performance than the CBFM does. The second order of the CBFs is set in the CBFM. Additionally, the first order of the CBFs of the AMCBFM alone is sufficient for this result. |
| format | Article |
| id | doaj-art-93c09bdaeca2482b90bdc2f561da503f |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-93c09bdaeca2482b90bdc2f561da503f2025-02-03T00:59:26ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772019-01-01201910.1155/2019/79854217985421A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough SurfaceJing Jing Wang0An Qi Wang1Zhi Xiang Huang2Tie Zhen Jiang3Key Laboratory of Intelligent Computing & Signal Processing, Anhui University, Hefei, Anhui 230601, ChinaKey Laboratory of Intelligent Computing & Signal Processing, Anhui University, Hefei, Anhui 230601, ChinaKey Laboratory of Intelligent Computing & Signal Processing, Anhui University, Hefei, Anhui 230601, ChinaKey Laboratory of Intelligent Computing & Signal Processing, Anhui University, Hefei, Anhui 230601, ChinaIn this paper, the Adaptive Modified Characteristic Basis Function Method (AMCBFM) is proposed for quickly simulating electromagnetic scattering from a one-dimensional perfectly electric conductor (PEC) rough surface. Similar to the traditional characteristic basis function method (CBFM), Foldy-Lax multiple scattering equations are applied in order to construct the characteristic basis functions (CBFs). However, the CBFs of the AMCBFM are different from those of the CBFM. In the AMCBFM, the coefficients of the CBFs are first defined. Then, the coefficients and the CBFs are used to structure the total current, which is used to represent the induced current along the rough surface. Moreover, a current criterion is defined to adaptively halt the order of the CBFs. The validity and efficiency of the AMCBFM are assessed by comparing the numerical results of the AMCBFM with the method of moments (MoM). The AMCBFM can effectively reduce the size of the matrix, and it costs less than half the CPU time used by the MoM. Moreover, by comparing it with the traditional CBFM, the AMCBFM can guarantee the accuracy, reduce the number of iterations, and achieve better convergence performance than the CBFM does. The second order of the CBFs is set in the CBFM. Additionally, the first order of the CBFs of the AMCBFM alone is sufficient for this result.http://dx.doi.org/10.1155/2019/7985421 |
| spellingShingle | Jing Jing Wang An Qi Wang Zhi Xiang Huang Tie Zhen Jiang A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface International Journal of Antennas and Propagation |
| title | A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface |
| title_full | A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface |
| title_fullStr | A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface |
| title_full_unstemmed | A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface |
| title_short | A Fast Algorithm for Electromagnetic Scattering from One-Dimensional Rough Surface |
| title_sort | fast algorithm for electromagnetic scattering from one dimensional rough surface |
| url | http://dx.doi.org/10.1155/2019/7985421 |
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