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A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar

A frequency-modulated continuous-wave radar for short-range target imaging, assembling a transceiver, a PLL, an SP4T switch, and a serial patch antenna array, was realized. A new algorithm based on a double Fourier transform (2D-FT) was developed and compared with the delay and sum (DAS) and multipl...

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Autores principales: Cicchetti, Renato, Pisa, Stefano, Piuzzi, Emanuele, Testa, Orlandino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146528/
https://www.ncbi.nlm.nih.gov/pubmed/37112460
http://dx.doi.org/10.3390/s23084119
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author Cicchetti, Renato
Pisa, Stefano
Piuzzi, Emanuele
Testa, Orlandino
author_facet Cicchetti, Renato
Pisa, Stefano
Piuzzi, Emanuele
Testa, Orlandino
author_sort Cicchetti, Renato
collection PubMed
description A frequency-modulated continuous-wave radar for short-range target imaging, assembling a transceiver, a PLL, an SP4T switch, and a serial patch antenna array, was realized. A new algorithm based on a double Fourier transform (2D-FT) was developed and compared with the delay and sum (DAS) and multiple signal classification (MUSIC) algorithms proposed in the literature for target detection. The three reconstruction algorithms were applied to simulated canonical cases evidencing radar resolutions close to the theoretical ones. The proposed 2D-FT algorithm exhibits an angle of view greater than 25° and is five times faster than DAS and 20 times faster than the MUSIC one. The realized radar shows a range resolution of 55 cm and an angular resolution of 14° and is able to correctly identify the positions of single and multiple targets in realistic scenarios, with errors lower than 20 cm.
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spelling pubmed-101465282023-04-29 A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar Cicchetti, Renato Pisa, Stefano Piuzzi, Emanuele Testa, Orlandino Sensors (Basel) Article A frequency-modulated continuous-wave radar for short-range target imaging, assembling a transceiver, a PLL, an SP4T switch, and a serial patch antenna array, was realized. A new algorithm based on a double Fourier transform (2D-FT) was developed and compared with the delay and sum (DAS) and multiple signal classification (MUSIC) algorithms proposed in the literature for target detection. The three reconstruction algorithms were applied to simulated canonical cases evidencing radar resolutions close to the theoretical ones. The proposed 2D-FT algorithm exhibits an angle of view greater than 25° and is five times faster than DAS and 20 times faster than the MUSIC one. The realized radar shows a range resolution of 55 cm and an angular resolution of 14° and is able to correctly identify the positions of single and multiple targets in realistic scenarios, with errors lower than 20 cm. MDPI 2023-04-19 /pmc/articles/PMC10146528/ /pubmed/37112460 http://dx.doi.org/10.3390/s23084119 Text en © 2023 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
Cicchetti, Renato
Pisa, Stefano
Piuzzi, Emanuele
Testa, Orlandino
A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar
title A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar
title_full A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar
title_fullStr A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar
title_full_unstemmed A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar
title_short A Double Fourier-Transform Imaging Algorithm for a 24 GHz FMCW Short-Range Radar
title_sort double fourier-transform imaging algorithm for a 24 ghz fmcw short-range radar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10146528/
https://www.ncbi.nlm.nih.gov/pubmed/37112460
http://dx.doi.org/10.3390/s23084119
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