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Microwave Imaging of Three-Dimensional Dielectric Objects Employing Evolution Strategies

Abstract : This paper investigates the performance of an evolutionary algorithm in the reconstruction of the shape and location of an arbitrary three-dimensional (3-D) dielectric object immersed in air. An evolution strategy optimization technique is combined with the method of moments to estimate, in terms of a multidimensional optimization problem, the unknown parameters that determine the shape and the location of the object. The reconstruction is performed through the minimization of an error function between the synthetic measurements and simulated scattered data. The results show a potential of the algorithm in estimating the shape and location of 3-D objects.
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Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Tuesday, June 16, 2020 - 9:45:56 AM
Last modification on : Wednesday, September 15, 2021 - 3:03:49 PM





Payam Rashidi, Magda El-Shenawee, Demetrio Macías, Erik Miller. Microwave Imaging of Three-Dimensional Dielectric Objects Employing Evolution Strategies. IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, 2005., Apr 2005, Honolulu, United States. pp.393-396, ⟨10.1109/WCACEM.2005.1469608⟩. ⟨hal-02869507⟩



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