基于盲源分离的多人呼吸信号检测方法

TN957.52; 近年来,人们越来越关注多人环境下的呼吸监测,以及如何同时监测多人的健康状态.在多人呼吸检测的算法中,盲源分离算法因其无需先验信息并且对硬件性能依赖性较小而备受研究者关注.然而,在多人呼吸监测场景中,目前的盲源分离算法通常将相位信号作为源信号进行分离,该文引入FMCW雷达下距离维信号和相位信号的对比,推导出相位信号作为源信号存在近似误差,并通过仿真验证距离维信号作为源信号时分离效果更好.另外,该文提出了基于非圆复数独立成分分析的多人呼吸信号分离算法,分析了不同呼吸信号参数对分离效果的影响,仿真和实测实验表明,所提出的方法适用于天线个数不小于目标个数时多人呼吸信号的检测,并且在...

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Published in雷达学报 Vol. 14; no. 1; pp. 117 - 134
Main Authors 杨轩, 王子颖, 张力, 赵恒, 洪弘
Format Journal Article
LanguageChinese
Published 南京理工大学 南京 210000%上海航天电子技术研究所 上海 201109 01.02.2025
Subjects
FMCW雷达
Complex independent component analysis
复数独立成分分析
多人呼吸检测
Multiperson respiration detection
非接触呼吸检测
FMCW radar
盲源分离
Blind Source Separation(BSS)
Noncontact respiration detection
Online AccessGet full text
ISSN2095-283X
DOI10.12000/JR24115

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Abstract TN957.52; 近年来,人们越来越关注多人环境下的呼吸监测,以及如何同时监测多人的健康状态.在多人呼吸检测的算法中,盲源分离算法因其无需先验信息并且对硬件性能依赖性较小而备受研究者关注.然而,在多人呼吸监测场景中,目前的盲源分离算法通常将相位信号作为源信号进行分离,该文引入FMCW雷达下距离维信号和相位信号的对比,推导出相位信号作为源信号存在近似误差,并通过仿真验证距离维信号作为源信号时分离效果更好.另外,该文提出了基于非圆复数独立成分分析的多人呼吸信号分离算法,分析了不同呼吸信号参数对分离效果的影响,仿真和实测实验表明,所提出的方法适用于天线个数不小于目标个数时多人呼吸信号的检测,并且在目标角度差为9.46°时,也能够准确分离呼吸信号.
AbstractList TN957.52; 近年来,人们越来越关注多人环境下的呼吸监测,以及如何同时监测多人的健康状态.在多人呼吸检测的算法中,盲源分离算法因其无需先验信息并且对硬件性能依赖性较小而备受研究者关注.然而,在多人呼吸监测场景中,目前的盲源分离算法通常将相位信号作为源信号进行分离,该文引入FMCW雷达下距离维信号和相位信号的对比,推导出相位信号作为源信号存在近似误差,并通过仿真验证距离维信号作为源信号时分离效果更好.另外,该文提出了基于非圆复数独立成分分析的多人呼吸信号分离算法,分析了不同呼吸信号参数对分离效果的影响,仿真和实测实验表明,所提出的方法适用于天线个数不小于目标个数时多人呼吸信号的检测,并且在目标角度差为9.46°时,也能够准确分离呼吸信号.
Abstract_FL In recent years,there has been an increasing interest in respiratory monitoring in multiperson environments and simultaneous monitoring of the health status of multiple people.Among the algorithms developed for multiperson respiratory detection,blind source separation algorithms have attracted the attention of researchers because they do not require prior information and are less dependent on hardware performance.However,in the context of multiperson respiratory monitoring,the current blind source separation algorithm usually separates phase signals as the source signal.This article compares the distance dimension and phase signals under Frequency-modulated continuous-wave radar,calculates the approximate error associated with using the phase signal as the source signal,and verifies the separation effect through simulations.The distance dimension signal is better to use as the source signal.In addition,this article proposes a multiperson respiratory signal separation algorithm based on noncircular complex independent component analysis and analyzes the impact of different respiratory signal parameters on the separation effect.Simulation and experimental measurements show that the proposed method is suitable for detecting multiperson respiratory signals under controlled conditions and can accurately separate respiratory signals when the angle of the two targets to the radar is 9.46°.
Author 张力
洪弘
杨轩
王子颖
赵恒
AuthorAffiliation 南京理工大学 南京 210000%上海航天电子技术研究所 上海 201109
AuthorAffiliation_xml – name: 南京理工大学 南京 210000%上海航天电子技术研究所 上海 201109
Author_FL ZHANG Li
YANG Xuan
WANG Ziying
ZHAO Heng
HONG Hong
Author_FL_xml – sequence: 1
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  fullname: WANG Ziying
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  fullname: 杨轩
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Copyright Copyright © Wanfang Data Co. Ltd. All Rights Reserved.
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DocumentTitle_FL Noncontact Multiperson Respiratory Detection Method Based on Blind Source Separation
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Keywords FMCW雷达
Complex independent component analysis
复数独立成分分析
多人呼吸检测
Multiperson respiration detection
非接触呼吸检测
FMCW radar
盲源分离
Blind Source Separation(BSS)
Noncontact respiration detection
Language Chinese
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PublicationTitle 雷达学报
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Snippet TN957.52; 近年来,人们越来越关注多人环境下的呼吸监测,以及如何同时监测多人的健康状态.在多人呼吸检测的算法中,盲源分离算法因其无需先验信息并且对硬件性能依赖性较小...
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Title 基于盲源分离的多人呼吸信号检测方法
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