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 inChinese physics letters Vol. 31; no. 11; pp. 155 - 158
Main Author 曹欣远 陈明生 孔勐 张量 吴先良
Format Journal Article
LanguageEnglish
Published 01.11.2014
Subjects
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
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ISSN0256-307X
1741-3540
DOI10.1088/0256-307X/31/11/118401

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Summary: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.
Bibliography: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）
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SourceType-Scholarly Journals-1
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ISSN:0256-307X
1741-3540
DOI:10.1088/0256-307X/31/11/118401