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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10300905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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