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Design of 2D Planar Sparse Binned Arrays Based on the Coarray Analysis

sparse array
2D matrix array
coarray
system resource optimization
ultrasonic imaging
Óscar Martínez-Graullera, Júlio Cesar Eduardo de Souza, Montserrat Parrilla Romero and Ricardo Tokio Higuti
Sensors 21, no. 23: 800
https://doi.org/10.3390/s21238018

sparse bin array

The analysis of the beampattern is the base of sparse arrays design process. However, in the case of bidimensional arrays, this analysis has a high computational cost, turning the design process into a long and complex task. If the imaging system development is considered a holistic process, the aperture is a sampling grid that must be considered in the spatial domain through the coarray structure. Here, we propose to guide the aperture design process using statistical parameters of the distribution of the weights in the coarray. We have studied three designs of sparse matrix binned arrays with different sparseness degrees. Our results prove that there is a relationship between these parameters and the beampattern, which is valuable and improves the array design process. The proposed methodology reduces the computational cost up to 58 times with respect to the conventional fitness function based on the beampattern analysis.

Funding

The Spanish Govermment supported this research under grant number DPI 2016-80239-R (AEI/FEDER, UE) and, PID 2019-111392RB-I00. This study was financed in part by the Coordination of Superior Level Staff Improvement—Brazil (CAPES)—Finance Code 001 and the Brazilian National Council for Scientific and Technological Development (CNPq).

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