Solving Inverse Scattering for a Partially Immersed Metallic Cylinder Using Steady-State Genetic Algorithm and Asynchronous Particle Swarm Optimization by TE waves

The transverse electric (TE) polarization for shape reconstruction of a metallic cylinder by asynchronous particle swarm optimization (APSO) and steady-state genetic algorithm (SSGA) is presented. These approaches are applied to two-dimensional configurations. After an integral formulation, a discre...

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Published inApplied Computational Electromagnetics Society journal Vol. 28; no. 8; p. 663
Main Authors Li, Ching-Lieh, Sun, Chi Hsien, Chien-Ching Chiu, Lung-Fai Tuen
Format Journal Article
LanguageEnglish
Published Pisa River Publishers 01.08.2013
Subjects
Cylinders
Electric fields
Genetic algorithms
Inverse scattering
Optimization
Particle swarm optimization
Random noise
Reconstruction
Steady state
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Summary:The transverse electric (TE) polarization for shape reconstruction of a metallic cylinder by asynchronous particle swarm optimization (APSO) and steady-state genetic algorithm (SSGA) is presented. These approaches are applied to two-dimensional configurations. After an integral formulation, a discretization using the method of moment (MoM) is applied. Considering that the microwave imaging is recast as a nonlinear optimization problem, an objective function is defined by the norm of a difference between the measured scattered electric field and that calculated for an estimated shape of metallic cylinder. Thus, the shape of metallic cylinder can be obtained by minimizing the objective function. In order to solve this inverse scattering problem, two techniques are employed. The first is asynchronous particle swarm optimization. The second is steady-state genetic algorithm. Both techniques have been tested in the case of simulated measurements contaminated by additive white Gaussian noise. Numerical results indicate that the asynchronous particle swarm optimization outperforms steady-state genetic algorithm in terms of reconstruction accuracy and convergence speed.
ISSN:1054-4887
1943-5711