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Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
This paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven valu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165135/ https://www.ncbi.nlm.nih.gov/pubmed/30213122 http://dx.doi.org/10.3390/s18093065 |
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author | Liang, Xiaolin Wang, Yuankai Wu, Shiyou Gulliver, Thomas Aaron |
author_facet | Liang, Xiaolin Wang, Yuankai Wu, Shiyou Gulliver, Thomas Aaron |
author_sort | Liang, Xiaolin |
collection | PubMed |
description | This paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven values averaged are used to further improve the signal-to-noise ratio (SNR) of the human respiratory signals. The maximum slope and standard deviation are used for analyzing the characteristics of the received pulses, which can provide two distance estimates for human being detection. Most importantly, based on the two distance estimates, we can accurately judge whether there are human beings in the detection environments or not. The data size can be reduced based on the defined interested region, which can improve the operation efficiency of the radar system for human being detection. The developed algorithm provides excellent performance regarding human being detection, which is validated through comparison with several well-known algorithms. |
format | Online Article Text |
id | pubmed-6165135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61651352018-10-10 Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems Liang, Xiaolin Wang, Yuankai Wu, Shiyou Gulliver, Thomas Aaron Sensors (Basel) Article This paper analyzes and discusses the capability of human being detection using impulse ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain control (AGC) technique is employed to enhance the amplitudes of human respiratory signals. Two filters with seven values averaged are used to further improve the signal-to-noise ratio (SNR) of the human respiratory signals. The maximum slope and standard deviation are used for analyzing the characteristics of the received pulses, which can provide two distance estimates for human being detection. Most importantly, based on the two distance estimates, we can accurately judge whether there are human beings in the detection environments or not. The data size can be reduced based on the defined interested region, which can improve the operation efficiency of the radar system for human being detection. The developed algorithm provides excellent performance regarding human being detection, which is validated through comparison with several well-known algorithms. MDPI 2018-09-12 /pmc/articles/PMC6165135/ /pubmed/30213122 http://dx.doi.org/10.3390/s18093065 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liang, Xiaolin Wang, Yuankai Wu, Shiyou Gulliver, Thomas Aaron Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems |
title | Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems |
title_full | Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems |
title_fullStr | Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems |
title_full_unstemmed | Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems |
title_short | Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems |
title_sort | experimental study of wireless monitoring of human respiratory movements using uwb impulse radar systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165135/ https://www.ncbi.nlm.nih.gov/pubmed/30213122 http://dx.doi.org/10.3390/s18093065 |
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