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Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD
As a new method to detect vital signs, Ultra-wideband (UWB) radar could continuously monitor human respiratory signs without contact. Aimed at addressing the problem of large interference and weak acquisition signal in radar echo signals from complex scenes, this paper adopts a UWB radar echo signal...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503521/ https://www.ncbi.nlm.nih.gov/pubmed/36146076 http://dx.doi.org/10.3390/s22186726 |
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author | Qi, Qingjie Zhao, Youxin Zhang, Liang Yang, Zhen Sun, Lifeng Jia, Xinlei |
author_facet | Qi, Qingjie Zhao, Youxin Zhang, Liang Yang, Zhen Sun, Lifeng Jia, Xinlei |
author_sort | Qi, Qingjie |
collection | PubMed |
description | As a new method to detect vital signs, Ultra-wideband (UWB) radar could continuously monitor human respiratory signs without contact. Aimed at addressing the problem of large interference and weak acquisition signal in radar echo signals from complex scenes, this paper adopts a UWB radar echo signal processing method that combines strong physical sign information extraction at P time and Variational Mode Decomposition (VMD) to carry out theoretical derivation. Using this novel processing scheme, respiration and heartbeat signals can be quickly reconstructed according to the selection of the appropriate intrinsic mode functions (IMFs), and the real-time detection accuracy of human respiratory signs is greatly improved. Based on an experimental platform, the data collected by the UWB radar module were first verified against the measured values obtained at the actual scene. The results of a validation test proved that our UWB radar echo signal processing method effectively eliminated the respiratory clutter signal and realized the accurate measurement of respiratory and heartbeat signals, which would prove the existence of life and further improve the quality of respiration and heartbeat signal and the robustness of detection. |
format | Online Article Text |
id | pubmed-9503521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95035212022-09-24 Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD Qi, Qingjie Zhao, Youxin Zhang, Liang Yang, Zhen Sun, Lifeng Jia, Xinlei Sensors (Basel) Article As a new method to detect vital signs, Ultra-wideband (UWB) radar could continuously monitor human respiratory signs without contact. Aimed at addressing the problem of large interference and weak acquisition signal in radar echo signals from complex scenes, this paper adopts a UWB radar echo signal processing method that combines strong physical sign information extraction at P time and Variational Mode Decomposition (VMD) to carry out theoretical derivation. Using this novel processing scheme, respiration and heartbeat signals can be quickly reconstructed according to the selection of the appropriate intrinsic mode functions (IMFs), and the real-time detection accuracy of human respiratory signs is greatly improved. Based on an experimental platform, the data collected by the UWB radar module were first verified against the measured values obtained at the actual scene. The results of a validation test proved that our UWB radar echo signal processing method effectively eliminated the respiratory clutter signal and realized the accurate measurement of respiratory and heartbeat signals, which would prove the existence of life and further improve the quality of respiration and heartbeat signal and the robustness of detection. MDPI 2022-09-06 /pmc/articles/PMC9503521/ /pubmed/36146076 http://dx.doi.org/10.3390/s22186726 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 Qi, Qingjie Zhao, Youxin Zhang, Liang Yang, Zhen Sun, Lifeng Jia, Xinlei Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD |
title | Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD |
title_full | Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD |
title_fullStr | Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD |
title_full_unstemmed | Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD |
title_short | Research on Ultra-Wideband Radar Echo Signal Processing Method Based on P-Order Extraction and VMD |
title_sort | research on ultra-wideband radar echo signal processing method based on p-order extraction and vmd |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503521/ https://www.ncbi.nlm.nih.gov/pubmed/36146076 http://dx.doi.org/10.3390/s22186726 |
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