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Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar

As the world’s population ages, technologies that enable long-term non-contact monitoring of patients are of great research significance. For this purpose, we propose a multi-person 2-D positioning method based on a 77 GHz FMCW radar. In this method, we first perform beam scanning processing on the...

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Detalles Bibliográficos
Autores principales: Huang, Xiaohong, Ju, Zedong, Zhu, Jikun, Zhang, Rundong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300905/
https://www.ncbi.nlm.nih.gov/pubmed/37374831
http://dx.doi.org/10.3390/mi14061246
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author Huang, Xiaohong
Ju, Zedong
Zhu, Jikun
Zhang, Rundong
author_facet Huang, Xiaohong
Ju, Zedong
Zhu, Jikun
Zhang, Rundong
author_sort Huang, Xiaohong
collection PubMed
description As the world’s population ages, technologies that enable long-term non-contact monitoring of patients are of great research significance. For this purpose, we propose a multi-person 2-D positioning method based on a 77 GHz FMCW radar. In this method, we first perform beam scanning processing on the data cube acquired by the radar and obtain the distance–Doppler–angle data cube. Then, we eliminate interfering targets through a multi-channel respiratory spectrum superposition algorithm. Finally, we obtain the distance and angle information of the target by the target center selection method. The experimental results show that the proposed method can detect the distance and angle information of multiple people.
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spelling pubmed-103009052023-06-29 Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar Huang, Xiaohong Ju, Zedong Zhu, Jikun Zhang, Rundong Micromachines (Basel) Article As the world’s population ages, technologies that enable long-term non-contact monitoring of patients are of great research significance. For this purpose, we propose a multi-person 2-D positioning method based on a 77 GHz FMCW radar. In this method, we first perform beam scanning processing on the data cube acquired by the radar and obtain the distance–Doppler–angle data cube. Then, we eliminate interfering targets through a multi-channel respiratory spectrum superposition algorithm. Finally, we obtain the distance and angle information of the target by the target center selection method. The experimental results show that the proposed method can detect the distance and angle information of multiple people. MDPI 2023-06-14 /pmc/articles/PMC10300905/ /pubmed/37374831 http://dx.doi.org/10.3390/mi14061246 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
Huang, Xiaohong
Ju, Zedong
Zhu, Jikun
Zhang, Rundong
Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar
title Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar
title_full Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar
title_fullStr Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar
title_full_unstemmed Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar
title_short Multi-Person 2-D Positioning Method Based on 77 GHz FMCW Radar
title_sort multi-person 2-d positioning method based on 77 ghz fmcw radar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300905/
https://www.ncbi.nlm.nih.gov/pubmed/37374831
http://dx.doi.org/10.3390/mi14061246
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