期刊論文
| 學年 | 106 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2017-08-31 |
| 作品名稱 | Dielectric objects reconstruction by combining subspace-based algorithm and randomly global optimization algorithm |
| 作品名稱（其他語言） | |
| 著者 | Chien-Ching Chiu; Chien-Yu Yen; Gang-Ze Lee |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Journal of Electromagnetic Waves and Applications 32, p.77-91 |
| 摘要 | This paper discusses an inverse scattering problem for the reconstruction of permittivity distribution of two-dimensional dielectric objects. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equation is derived and the imaging problem is reformulated into optimization problem. We solved the problem by combining subspace-based algorithm and self-adaptive dynamic differential evolution (SADDE). SADDE can process numerous unknowns of electromagnetic imaging problems. Different scatterers and environment have used to verify the stability of subspace-based algorithm and SADDE. We also compare genetic algorithm (GA) to show the robustness and the searching speed of SADDE. Numerical results show that the permittivity distribution of the dielectric objects is well reconstructed by SADDE. |
| 關鍵字 | |
| 語言 | zh_TW |
| ISSN | |
| 期刊性質 | 國內 |
| 收錄於 | SCI EI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112837 ) |