Cargando…

A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete

In this study, we investigate a millimeter wave (mmWave) synthetic aperture radar (SAR) imaging scheme utilizing a low-cost frequency modulated continuous wave (FMCW) radar to take part in non-destructive testing which could be a useful tool for both civilian and military demands. The FMCW radar wor...

Descripción completa

Detalles Bibliográficos
Autores principales: Pham, The-Hien, Kim, Kil-Hee, Hong, Ic-Pyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611569/
https://www.ncbi.nlm.nih.gov/pubmed/36298381
http://dx.doi.org/10.3390/s22208030
_version_ 1784819559560118272
author Pham, The-Hien
Kim, Kil-Hee
Hong, Ic-Pyo
author_facet Pham, The-Hien
Kim, Kil-Hee
Hong, Ic-Pyo
author_sort Pham, The-Hien
collection PubMed
description In this study, we investigate a millimeter wave (mmWave) synthetic aperture radar (SAR) imaging scheme utilizing a low-cost frequency modulated continuous wave (FMCW) radar to take part in non-destructive testing which could be a useful tool for both civilian and military demands. The FMCW radar working in the frequency range from 76 GHz to 81 GHz is equipped with a 2-D moving platform aiming to reconstruct the 2-D image of the shape of the target object. Due to the lab environment containing several devices and furniture, various noise and interference signals from the floor are not avoidable. Therefore, the digital signal processing algorithms are joined to remove the undesired signals as well as improve the target recognition. This study adopts the range migration algorithms (RMAs) on the processed reflected signal data to form the image of the target because of its verified ability in this type of mission. On the other hand, the integration of compressed sensing (CS) algorithms into the SAR imaging system is also researched which helps to improve the performance of the system by reducing the measurement duration while still maintaining the image quality. Three minimization algorithms are used involving the imaging system as the CS solvers reconstruct the radar data before being processed by RMA to form the image. The proposed imaging scheme demonstrates its good ability with high azimuth resolution in the mission of detecting tiny cracks in the rebar of reinforced concrete. In addition, the participation of CS algorithms improves the performance of the scheme as the cracks on the rebar can be located on the images, which are reconstructed from only 30% of the dataset. The comparison of CS solvers shows that ADMM outperforms the other candidates in the reconstruction task.
format Online
Article
Text
id pubmed-9611569
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96115692022-10-28 A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete Pham, The-Hien Kim, Kil-Hee Hong, Ic-Pyo Sensors (Basel) Article In this study, we investigate a millimeter wave (mmWave) synthetic aperture radar (SAR) imaging scheme utilizing a low-cost frequency modulated continuous wave (FMCW) radar to take part in non-destructive testing which could be a useful tool for both civilian and military demands. The FMCW radar working in the frequency range from 76 GHz to 81 GHz is equipped with a 2-D moving platform aiming to reconstruct the 2-D image of the shape of the target object. Due to the lab environment containing several devices and furniture, various noise and interference signals from the floor are not avoidable. Therefore, the digital signal processing algorithms are joined to remove the undesired signals as well as improve the target recognition. This study adopts the range migration algorithms (RMAs) on the processed reflected signal data to form the image of the target because of its verified ability in this type of mission. On the other hand, the integration of compressed sensing (CS) algorithms into the SAR imaging system is also researched which helps to improve the performance of the system by reducing the measurement duration while still maintaining the image quality. Three minimization algorithms are used involving the imaging system as the CS solvers reconstruct the radar data before being processed by RMA to form the image. The proposed imaging scheme demonstrates its good ability with high azimuth resolution in the mission of detecting tiny cracks in the rebar of reinforced concrete. In addition, the participation of CS algorithms improves the performance of the scheme as the cracks on the rebar can be located on the images, which are reconstructed from only 30% of the dataset. The comparison of CS solvers shows that ADMM outperforms the other candidates in the reconstruction task. MDPI 2022-10-20 /pmc/articles/PMC9611569/ /pubmed/36298381 http://dx.doi.org/10.3390/s22208030 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pham, The-Hien
Kim, Kil-Hee
Hong, Ic-Pyo
A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete
title A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete
title_full A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete
title_fullStr A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete
title_full_unstemmed A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete
title_short A Study on Millimeter Wave SAR Imaging for Non-Destructive Testing of Rebar in Reinforced Concrete
title_sort study on millimeter wave sar imaging for non-destructive testing of rebar in reinforced concrete
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611569/
https://www.ncbi.nlm.nih.gov/pubmed/36298381
http://dx.doi.org/10.3390/s22208030
work_keys_str_mv AT phamthehien astudyonmillimeterwavesarimagingfornondestructivetestingofrebarinreinforcedconcrete
AT kimkilhee astudyonmillimeterwavesarimagingfornondestructivetestingofrebarinreinforcedconcrete
AT hongicpyo astudyonmillimeterwavesarimagingfornondestructivetestingofrebarinreinforcedconcrete
AT phamthehien studyonmillimeterwavesarimagingfornondestructivetestingofrebarinreinforcedconcrete
AT kimkilhee studyonmillimeterwavesarimagingfornondestructivetestingofrebarinreinforcedconcrete
AT hongicpyo studyonmillimeterwavesarimagingfornondestructivetestingofrebarinreinforcedconcrete