国外电子测量技术2024,Vol.43Issue(9) :26-40.DOI:10.19652/j.cnki.femt.2406233

基于超宽带雷达的穿墙生命体征信号检测研究综述

Advances on through-wall vital sign signal detection based on ultra-wide band radar

王月 齐庆杰 孙立峰 程会锋 张婧雯 刘英杰 马天放 仙文豪
国外电子测量技术2024,Vol.43Issue(9) :26-40.DOI:10.19652/j.cnki.femt.2406233

基于超宽带雷达的穿墙生命体征信号检测研究综述

Advances on through-wall vital sign signal detection based on ultra-wide band radar

王月 1齐庆杰 1孙立峰 1程会锋 1张婧雯 1刘英杰 1马天放 1仙文豪1
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作者信息

  • 1. 煤炭科学研究总院有限公司 北京 100013
  • 折叠

摘要

呼吸与心跳是重要的生命体征信号,可以表示生命现象是否存在及其相关状态.准确获取倒塌掩埋空间与建筑物内部空间等复杂场景中的生命信息,在应急救援、侦查反恐等过程中发挥着巨大作用.超宽带雷达具有较强的穿透性能与抗干扰性能,能够穿透墙体等障碍物实现人体目标生命体征信号检测,已成为生命探测领域的研究热点.总结了超宽带雷达生命探测装备的国内外发展现状,包括主要研究团队和典型产品特征.梳理了基于超宽带雷达的穿墙生命体征信号检测技术整体框架,围绕回波信号去噪、回波信号增强、回波选择与距离定位以及生命信号分离与重构4部分内容进行了详细介绍与方法总结,并分析了深度学习在生命体征信号检测中的应用现状.最后,从产品与技术角度出发,对未来研究方向进行了展望.

Abstract

Breath and heartbeat are important vital signs,which can indicate the existence of living body and related states.Accurately acquiring life information in collapsed space and building interior plays a huge role in emergency rescue and counter-terrorism.Ultra-wide band radar has strong penetration and anti-interference performance,and can penetrate walls to detect human vital signs,which has become a research hotspot in the field of life detection.This paper summarizes the current development status of ultra-wide band radar life detection equipment at home and abroad,including the main research teams and their typical product characteristics.The overall framework of through-wall vital sign signal detection technology based on ultra-wide band radar is sorted out,and the four parts of echo signal denoising,echo signal enhancement,echo selection and distance positioning,and vital signal separation and reconstruction are introduced in detail,and the application status of deep learning in vital sign signal detection is analyzed.Finally,from the perspective of products and technology,future research directions are prospected.

关键词

超宽带雷达/生命探测技术与装备/雷达回波信号处理/生命体征信号提取

Key words

UWB/life detection technology and equipment/radar echo signal processing/vital signal extraction

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出版年

2024
国外电子测量技术
北京方略信息科技有限公司

国外电子测量技术

CSTPCD
影响因子:1.414
ISSN:1002-8978
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