Image Reconstruction of a 2D Partially Immersed Conducting Cylinder by G.A.

• Main Authors: Chih-Ming Yang, 楊志明
• Other Authors: Chien-Ching Chiu
• Format: Others
• Language: zh-TW
• Published: 2002
• Online Access: http://ndltd.ncl.edu.tw/handle/04626668000501188753

碩士 === 淡江大學 === 電機工程學系 === 90 === The paper presents a computational approach to the imaging of a perfectly conducting cylinder. A perfectly conducting cylinder of unknown shape is partially immersed in a medium and the scattered field is recorded in the free space. Based on the boundary condition and the measured scattered field, a set of nonlinear integral equations is derived and the imaging problem is reformulated into an optimization problem. The genetic algorithm is then employed to find out the global extreme solution of the object function. Numerical results demonstrated that, even when the initial guess is far away from the exact one, good reconstruction has been obtained. In such a case, the gradient-based methods often get trapped in a local extreme. Therefore, we choose the genetic algorithm, and depend on the relationship between the shape function and the scattered field, so that the unknown can be reconstructed.