Sparse Array Design Using the Genetic Algorithm for Optimizing the Radiation Pattern of Linear Arrays
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Data
2019-01-01
Autores
de Souza, Julio Cesar Eduardo [UNESP]
Prado, Vander Teixeira
Kitano, Cláudio [UNESP]
Higuti, Ricardo Tokio [UNESP]
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Resumo
The genetic algorithm was used to obtain sparse arrays with 8, 16, 32 and 64 transducers in a possible aperture size of 128 elements. The optimization was made by minimizing a fitness function that takes into account the mainlobe width and sidelobe levels of the array radiation pattern. The sparse arrays were used to image 11 twisted wires in a medical phantom. The sparse arrays were able to generate images with resolution comparable to a 128 elements array and reduced artifacts in comparison to arrays with the same number of elements.
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Genetic algorithm, Sparse array, Ultrasonic images
Como citar
IFMBE Proceedings, v. 70, p. 441-445.