Sparse Array Design Using the Genetic Algorithm for Optimizing the Radiation Pattern of Linear Arrays

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUTFPR – Universidade Tecnológica Federal do Paraná
dc.date.accessioned2020-12-12T02:15:19Z
dc.date.accessioned2022-12-19T21:08:18Z
dc.date.available2020-12-12T02:15:19Z
dc.date.available2022-12-19T21:08:18Z
dc.date.created2020-12-12T02:15:19Z
dc.date.issued2019-01-01
dc.identifierIFMBE Proceedings, v. 70, p. 441-445.
dc.identifier1433-9277
dc.identifier1680-0737
dc.identifierhttp://hdl.handle.net/11449/200760
dc.identifier10.1007/978-981-13-2517-5_67
dc.identifier2-s2.0-85087984765
dc.identifier6405339510883203
dc.identifier2883440351895167
dc.identifier0000-0003-4201-5617
dc.identifier0000-0001-6320-755X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5381394
dc.description.abstractThe 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.
dc.languageeng
dc.relationIFMBE Proceedings
dc.sourceScopus
dc.subjectGenetic algorithm
dc.subjectSparse array
dc.subjectUltrasonic images
dc.titleSparse Array Design Using the Genetic Algorithm for Optimizing the Radiation Pattern of Linear Arrays
dc.typeActas de congresos


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