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

Autor:	Júlio Cesar Eduardo de Souza, Montserrat Parrilla Romero, Óscar Martínez-Graullera, Ricardo Tokio Higuti
Přispěvatelé:	Instituto de Tecnologías Físicas y de la Información (ITEFI-CSIC), Universidade Estadual Paulista (UNESP)
Rok vydání:	2021
Předmět:	ultrasonic imaging Beamforming Computer science Aperture TP1-1185 Biochemistry Article beamforming Analytical Chemistry Image Processing Computer-Assisted Humans Sparse arrays Electrical and Electronic Engineering sparse arrays Instrumentation Ultrasonography Sparse matrix Fitness function Ultrasonic imaging Chemical technology Process (computing) Statistical parameter Atomic and Molecular Physics and Optics Design process Engineering design process Algorithm
Zdroj:	Sensors (Basel, Switzerland) Sensors; Volume 21; Issue 23; Pages: 8018 Sensors, Vol 21, Iss 8018, p 8018 (2021) Scopus Repositório Institucional da UNESP Universidade Estadual Paulista (UNESP) instacron:UNESP
ISSN:	1424-8220
DOI:	10.3390/s21238018
Popis:	Made available in DSpace on 2022-05-01T11:07:18Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-12-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Agencia Estatal de Investigación Federación Española de Enfermedades Raras 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. Instituto de Tecnologías Físicas y de la Información (ITEFI-CSIC), C/Serrano 144 Faculdade de Engenharia Universidade Estadual Paulista (UNESP), Campus Ilha Solteira, Avenida Brasil, 56, SP Faculdade de Engenharia Universidade Estadual Paulista (UNESP), Campus Ilha Solteira, Avenida Brasil, 56, SP CAPES: 001 Agencia Estatal de Investigación: PID 2019-111392RB-I00 Federación Española de Enfermedades Raras: PID 2019-111392RB-I00
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc1ba6233e0a4ddddff336f6adfa6919 https://doi.org/10.3390/s21238018 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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