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Microwave imaging based on two hybrid particle swarm optimization approaches

Published online by Cambridge University Press:  21 November 2018

Bouzid Mhamdi
Bouzid Mhamdi*
Affiliation:
Syscom Laboratory, Engineer School of Tunis, BP 37 Belvedere, Tunis - 1002, Tunisia
*
Author for correspondence: Bouzid Mhamdi, E-mail: [email protected]
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Abstract

In this paper, the solution of the inverse scattering problem for determining the shape and location of perfectly conducting scatterers by making use of electromagnetic scattered fields is presented. 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 one. Then, two evolutionary algorithms are used to solve the inverse scattering problem. To further clarify, our contribution is to test two well-known algorithms in the literature to the problem of microwave imaging. The hybrid approaches combine the standard particle swarm optimization (PSO) with the ideas of the simulated annealing and extremal optimization algorithms, respectively. Both of them are shown to be more efficient than original PSO technique. Reconstruction results by using the two presented schemes are compared with exact shapes of some conducting cylinders; and good agreements with the original shapes are observed.

Keywords

EM field theorymicrowave measurements
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 3 , April 2019 , pp. 268 - 275
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

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