煤矿安全2025，Vol.56Issue(7)：205-213,9.DOI:10.13347/j.cnki.mkaq.20241446
面向矿山救援的UWB雷达回波信号处理技术研究现状与展望
Research status and prospect of UWB radar echo signal processing technology for mine rescue
摘要
Abstract
Ultra-wideband(UWB)radar echo signal processing affects the accurate detection of life signals,which is a key prerequis-ite for the success of mine rescue operations.Based on the echo signal processing process,this study introduces the working prin-ciple 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 al-gorithm 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 light-weight deep learning is studied.关键词
矿山救援/应急救援/人体识别/UWB雷达/回波信号处理/滤波去噪/生命信息探测Key words
mine rescue/emergency rescue/body recognition/UWB radar/processing of echo signals/filtering and denoising/life information detection分类
矿业与冶金引用本文复制引用
郑学召,孙朝阳,黄渊,丁文,马扬,李强,牟浩伟..面向矿山救援的UWB雷达回波信号处理技术研究现状与展望[J].煤矿安全,2025,56(7):205-213,9.基金项目
国家自然科学基金资助项目(52174197) （52174197）
陕西省重点研发计划资助项目(2023-YBSF-101) （2023-YBSF-101）
