會議論文
學年 | 101 |
---|---|
學期 | 2 |
發表日期 | 2013-05-20 |
作品名稱 | Computational approach based on some population-based optimization algorithms for inverse scattering of a metallic cylinder |
作品名稱(其他語言) | |
著者 | Sun, Chi-Hsien; Huang, Chung-Hsin; Li, Ching-Lieh |
作品所屬單位 | 淡江大學電機工程學系 |
出版者 | |
會議名稱 | Electromagnetic Theory (EMTS), Proceedings of 2013 URSI International Symposium on |
會議地點 | Hiroshima, Japan |
摘要 | The paper presents a study of time domain inverse scattering for a metallic cylinder based on the finite difference time domain (FDTD) method and the evolutionary algorithms (EAs). The FDTD method is employed to calculate the scattered E fields for the forward scattering, while the inverse scattering problem is transformed into an optimization one. The idea is to perform the image reconstruction by utilization of some optimization schemes to minimize the discrepancy between the measured and calculated scattered field data. The schemes tested include differential evolution (DE), dynamic differential evolution (DDE), self-adaptive differential evolution (SADE) and self-adaptive dynamic differential evolution (SADDE). The suitability and efficiency of the above methods applied to microwave imaging of a 2-D metallic cylinder are examined. Numerical results show that good reconstruction can be obtained by all optimization methods tested. However, SADDE outperforms DE, DDE and SADE regarding the reconstruction accuracy and the convergent speed in terms of the number of the function calls. |
關鍵字 | Cubic-Spline;Differential Evolution (DE) Algorithm;Dynamic Differential Evolution (DDE);Finite Difference Time Domain (FDTD);Inverse Scattering;Self-Adaptive Differential Evolution;(SADE) and Self-Adaptive Dynamic Differential;Evolution (SADDE);Time Domain |
語言 | en |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | |
研討會時間 | 20130520~20130524 |
通訊作者 | |
國別 | JPN |
公開徵稿 | Y |
出版型式 | |
出處 | Electromagnetic Theory (EMTS), Proceedings of 2013 URSI International Symposium on, pp.17-20 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96573 ) |