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

Souza, Júlio Cesar Eduardo de; Prado, Vander Teixeira; Kitano, Cláudio; Higuti, Ricardo Tokio

doi:10.1007/978-981-13-2517-5_67

Cited by 2 publications

(1 citation statement)

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“…Zhang H et al [16] fully considered the influence of the main lobe and side lobes of the sound beam on the sound field and used binary particle swarm optimization (BPSO) to sparse the phased array, which improved the imaging efficiency and made the sparse image quality close to full array at the same time. JCE de Souza et al [17] used the array radiation pattern to analyze the influence of the mainlobe and side-lobe levels in the sound field on the sparse results, and the optimized sparse array has a closer imaging resolution and less artifacts than the full array. Zhang et al [18] used instantaneous phase coherence factor (IPCF) and instantaneous phase weighting factor (IPWF) to weight Green's function, which reduces the background noise in the ultrasonic scattering sound field and increases the continuity of the image phase, but the imaging time has not been reduced compared with conventional TFM.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Phased Array Sparse TFM Imaging Based on Virtual Source and Phase Coherent Weighting

2020

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Total focus method (TFM) is an ultrasonic phased array imaging method and has a larger dynamic focusing range and higher spatial resolution than traditional imaging methods. But TFM needs to process a large amount of data, resulting in a long imaging time, which greatly limits its application and development in the industrial field. The sparse method can improve the computing efficiency by reducing the amount of data, but the resolution and intensity of sparse image are very low. This paper proposes a virtual source sparse TFM (VSSTFM) method based on phase coherent weighting (PCW) to improve the spatial resolution and intensity of the sparse TFM imaging. The layout of virtual sources in the virtual source array is designed and optimized by genetic algorithm. According to the phase distribution characteristics of the ultrasonic testing signal, a phase coherence factor is constructed to weight the VSSTFM image to further improve the image quality. Experimental results show that compared with conventional TFM, the proposed method can improve the imaging efficiency by 66.56 % while providing significantly higher image quality than TFM imaging.

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Section: Introductionmentioning

confidence: 99%