Method of Moments Based on Prior Knowledge for Solving Wide Angle EM Scattering Problems
Aiming at fast analysis of wide angle electromagnetic scattering problems, compressed sensing theory is introduced and applied, and a new kind of sparse representation of induced currents is constructed based on prior knowledge that originates from excitation vectors in method of moments. Using the...
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| Published in | Chinese physics letters Vol. 31; no. 11; pp. 155 - 158 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.11.2014
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0256-307X 1741-3540 |
| DOI | 10.1088/0256-307X/31/11/118401 |
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| Abstract | Aiming at fast analysis of wide angle electromagnetic scattering problems, compressed sensing theory is introduced and applied, and a new kind of sparse representation of induced currents is constructed based on prior knowledge that originates from excitation vectors in method of moments. Using the new kind of sparse representation in conjugation with compressed sensing, one can recover unknown currents accurately with fewer measurements than some conventional sparse representations in mathematical sense. Hence, times of calculation by traditional method of moments used to obtain the required measurements can be reduced, which will improve the computational efficiency. |
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| AbstractList | Aiming at fast analysis of wide angle electromagnetic scattering problems, compressed sensing theory is introduced and applied, and a new kind of sparse representation of induced currents is constructed based on prior knowledge that originates from excitation vectors in method of moments. Using the new kind of sparse representation in conjugation with compressed sensing, one can recover unknown currents accurately with fewer measurements than some conventional sparse representations in mathematical sense. Hence, times of calculation by traditional method of moments used to obtain the required measurements can be reduced, which will improve the computational efficiency. |
| Author | 曹欣远 陈明生 孔勐 张量 吴先良 |
| AuthorAffiliation | School of Electronics and Information Engineering, Hefei Normal University, Hefei 230601 School of Electronics and Information Engineering, Anhui University, Hefei 230039 |
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| CitedBy_id | crossref_primary_10_1049_el_2017_0406 crossref_primary_10_1109_LAWP_2016_2569605 crossref_primary_10_1002_jnm_2526 |
| Cites_doi | 10.1109/TAP.2003.814745 10.1109/TAP.2003.820978 10.1088/1674-1056/21/5/055204 10.1109/TAP.2003.818004 10.1088/0256-307X/28/10/104101 10.1109/TIT.2005.862083 10.1088/0256-307X/30/2/028401 10.1109/12.485571 10.1109/LAWP.2011.2174190 10.1109/JSTSP.2010.2042412 10.1016/j.engfracmech.2012.05.004 10.1109/8.633855 |
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| DocumentTitleAlternate | Method of Moments Based on Prior Knowledge for Solving Wide Angle EM Scattering Problems |
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| Notes | 11-1959/O4 Aiming at fast analysis of wide angle electromagnetic scattering problems, compressed sensing theory is introduced and applied, and a new kind of sparse representation of induced currents is constructed based on prior knowledge that originates from excitation vectors in method of moments. Using the new kind of sparse representation in conjugation with compressed sensing, one can recover unknown currents accurately with fewer measurements than some conventional sparse representations in mathematical sense. Hence, times of calculation by traditional method of moments used to obtain the required measurements can be reduced, which will improve the computational efficiency. CAO Xin-Yuan, CHEN Ming-Sheng, KONG Meng,ZHANG Liang, WU Xian-Liang（1.School of Electronics and Information Engineering, Hefei Normal University, Hefei 230601 ; 2.School of Electronics and Information Engineering, Anhui University, Hefei 230039） ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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| References | Cao X Y (4) 2013; 35 11 12 13 Mamedov B A (14) 2012; 21 15 16 17 Cao X Y (9) 2013; 41 Du H M (6) 2012; 29 Christopoulos C (1) 2011; 1 2 5 Li J (3) 2011; 28 Cao X Y (8) 2013; 30 Baraniuk R (7) 2008; 1 10 |
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| Snippet | Aiming at fast analysis of wide angle electromagnetic scattering problems, compressed sensing theory is introduced and applied, and a new kind of sparse... |
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| SubjectTerms | Computational efficiency Conjugation Detection Mathematical analysis Method of moments Representations Scattering Vectors (mathematics) 先验知识 广角 感应电流 散射问题 求解 电磁 矩量法 稀疏表示 |
| Title | Method of Moments Based on Prior Knowledge for Solving Wide Angle EM Scattering Problems |
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