Title :
Electromagnetic imaging by the genetic algorithm
Author :
Chan, Wei ; Li, Ching-Lieh ; Chiu, Chien-Ching
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Tamsui, Taiwan
Abstract :
The genetic algorithm is used to reconstruct the shapes of two perfectly conducting cylinders. 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 the global extreme solution of the cost function. Numerical examples are given to demonstrate the capability of the inverse algorithm. Good reconstruction is obtained even when the multiple scattering between two conductors is serious. In addition, the effect of Gaussian noise on the reconstruction results is investigated
Keywords :
Gaussian noise; boundary integral equations; conducting bodies; electric field integral equations; electromagnetic wave scattering; genetic algorithms; image reconstruction; inverse problems; iterative methods; microwave imaging; tomography; Gaussian noise effect; boundary condition; cost function; electromagnetic imaging; genetic algorithm; global extreme solution; inverse algorithm; iterative optimization; multiple scattering; nonlinear integral equations; optimization problem; perfectly conducting cylinders; scattered field; shape reconstruction; transverse magnetic waves; Boundary conditions; Conductors; Cost function; Electromagnetic measurements; Electromagnetic scattering; Gaussian noise; Genetic algorithms; Image reconstruction; Integral equations; Shape;
Conference_Titel :
Microwave and Optoelectronics Conference, 1999. SBMO/IEEE MTT-S, APS and LEOS - IMOC '99. International
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-5807-4
DOI :
10.1109/IMOC.1999.867039
