Research status and prospect of UWB radar echo signal processing technology for mine rescue

Ultra-wideband (UWB) radar echo signal processing affects the accurate detection of life signals, which is a key prerequisite for the success of mine rescue operations. Based on the echo signal processing process, this study introduces the working principle of UWB radar life information detection te...

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Main Authors: Xuezhao ZHENG, Chaoyang SUN, Yuan HUANG, Wen DING, Yang MA, Qiang LI, Haowei MOU
Format: Article
Language:zho
Published: Editorial Office of Safety in Coal Mines 2025-07-01
Series:Meikuang Anquan
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Online Access:https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20241446
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author Xuezhao ZHENG
Chaoyang SUN
Yuan HUANG
Wen DING
Yang MA
Qiang LI
Haowei MOU
author_facet Xuezhao ZHENG
Chaoyang SUN
Yuan HUANG
Wen DING
Yang MA
Qiang LI
Haowei MOU
author_sort Xuezhao ZHENG
collection DOAJ
description Ultra-wideband (UWB) radar echo signal processing affects the accurate detection of life signals, which is a key prerequisite for the success of mine rescue operations. Based on the echo signal processing process, this study introduces the working principle of UWB radar life information detection technology, discusses the relevant methods and algorithms of clutter suppression and background noise filtering in the echo signal preprocessing, and analyzes the research status of life signal extraction and recognition methods. It is pointed out that the present UWB radar life information detection technology has the following problems in the echo signal processing: filtering and denoising technology is not suitable for the environment; life signal extraction target is single and multi-method fusion technology needs to be improved; the generalization ability of human body recognition model is insufficient and the action recognition is not real-time. In view of the existing problems, the future development trend of UWB radar life information detection echo signal processing technology is proposed: the mine clutter model is constructed and the real-time adaptive filtering algorithm is studied. The extraction and fusion of multi-modal life signals and the optimization of data processing process are realized by using deep learning related technologies. The mining rescue body recognition technology based on multi-task learning and lightweight deep learning is studied.
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institution Kabale University
issn 1003-496X
language zho
publishDate 2025-07-01
publisher Editorial Office of Safety in Coal Mines
record_format Article
series Meikuang Anquan
spelling doaj-art-dfecf86bc4ec4fca9ba6547a3fb33de22025-08-20T03:50:01ZzhoEditorial Office of Safety in Coal MinesMeikuang Anquan1003-496X2025-07-0156720521310.13347/j.cnki.mkaq.20241446lMKAQ20241446Research status and prospect of UWB radar echo signal processing technology for mine rescueXuezhao ZHENG0Chaoyang SUN1Yuan HUANG2Wen DING3Yang MA4Qiang LI5Haowei MOU6College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaXi’an Research Center of National Mine Rescue, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaCollege of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaUltra-wideband (UWB) radar echo signal processing affects the accurate detection of life signals, which is a key prerequisite for the success of mine rescue operations. Based on the echo signal processing process, this study introduces the working principle of UWB radar life information detection technology, discusses the relevant methods and algorithms of clutter suppression and background noise filtering in the echo signal preprocessing, and analyzes the research status of life signal extraction and recognition methods. It is pointed out that the present UWB radar life information detection technology has the following problems in the echo signal processing: filtering and denoising technology is not suitable for the environment; life signal extraction target is single and multi-method fusion technology needs to be improved; the generalization ability of human body recognition model is insufficient and the action recognition is not real-time. In view of the existing problems, the future development trend of UWB radar life information detection echo signal processing technology is proposed: the mine clutter model is constructed and the real-time adaptive filtering algorithm is studied. The extraction and fusion of multi-modal life signals and the optimization of data processing process are realized by using deep learning related technologies. The mining rescue body recognition technology based on multi-task learning and lightweight deep learning is studied.https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20241446mine rescueemergency rescuebody recognitionuwb radarprocessing of echo signalsfiltering and denoisinglife information detection
spellingShingle Xuezhao ZHENG
Chaoyang SUN
Yuan HUANG
Wen DING
Yang MA
Qiang LI
Haowei MOU
Research status and prospect of UWB radar echo signal processing technology for mine rescue
Meikuang Anquan
mine rescue
emergency rescue
body recognition
uwb radar
processing of echo signals
filtering and denoising
life information detection
title Research status and prospect of UWB radar echo signal processing technology for mine rescue
title_full Research status and prospect of UWB radar echo signal processing technology for mine rescue
title_fullStr Research status and prospect of UWB radar echo signal processing technology for mine rescue
title_full_unstemmed Research status and prospect of UWB radar echo signal processing technology for mine rescue
title_short Research status and prospect of UWB radar echo signal processing technology for mine rescue
title_sort research status and prospect of uwb radar echo signal processing technology for mine rescue
topic mine rescue
emergency rescue
body recognition
uwb radar
processing of echo signals
filtering and denoising
life information detection
url https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20241446
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