TY - JOUR

T1 - Inverse scattering of a conducting cylinder in free space by modified fireworks algorithm

AU - Lee, Kun Chou

N1 - Funding Information:
The author would like to acknowledge the financial support of the Ministry of Science and Technology, Taiwan, under contract number of MOST 106-2221-E-006-117. The author is also grateful to Mr. Jhong-Yuan Wang, Master of Science in National Cheng-Kung University, Taiwan for his helpful discussion.
Publisher Copyright:
© 2017, Electromagnetics Academy. All rights reserved.

PY - 2017

Y1 - 2017

N2 - In this paper, the inverse scattering of a conducting cylinder is given by modified fireworks algorithm. Initially, the direct scattering is formulated as an integral equation, which contains the target shape function. The scattering integral equation is then solved by the moment method. To achieve image reconstruction, the target shape function is expanded as a Fourier series. The inverse scattering is transformed into a nonlinear optimization problem. The variables are Fourier series coefficients of the target shape function. The objective function is defined by comparing the scattered electric fields of guessed and true shapes. This nonlinear optimization problem is then optimized by our modified fireworks algorithm. The fireworks algorithm is a novel swarm intelligence algorithm for global optimization. It is inspired by practical fireworks explosion. In this paper, it is suitably modified so that it can treat the inverse scattering problem with fast convergence. Numerical results show that the inverse scattering based on our modified fireworks algorithm can accurately reconstruct the target shape with fast convergence.

AB - In this paper, the inverse scattering of a conducting cylinder is given by modified fireworks algorithm. Initially, the direct scattering is formulated as an integral equation, which contains the target shape function. The scattering integral equation is then solved by the moment method. To achieve image reconstruction, the target shape function is expanded as a Fourier series. The inverse scattering is transformed into a nonlinear optimization problem. The variables are Fourier series coefficients of the target shape function. The objective function is defined by comparing the scattered electric fields of guessed and true shapes. This nonlinear optimization problem is then optimized by our modified fireworks algorithm. The fireworks algorithm is a novel swarm intelligence algorithm for global optimization. It is inspired by practical fireworks explosion. In this paper, it is suitably modified so that it can treat the inverse scattering problem with fast convergence. Numerical results show that the inverse scattering based on our modified fireworks algorithm can accurately reconstruct the target shape with fast convergence.

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U2 - 10.2528/PIERM17061101

DO - 10.2528/PIERM17061101

M3 - Article

AN - SCOPUS:85027682658

SN - 1937-8726

VL - 59

SP - 135

EP - 146

JO - Progress In Electromagnetics Research M

JF - Progress In Electromagnetics Research M

ER -