High-Precision Vital Signs Detection Method Based on Spectrum Refinement and Extended DCMA|Mingxu Xiang;Wu Ren;Weiming Li;Zhenghui Xue - 期刊导航|首站-论文投稿智能助手|论文发表|论文智能投稿|期刊自助发表推荐|杂志社快速发表|查同导刊-域田数据官方网站

典型文献

High-Precision Vital Signs Detection Method Based on Spectrum Refinement and Extended DCMA

文献摘要：

In this paper, the spectral estimation algorithm is extended to the detection of human vi-tal signs by mm-wave frequency modulated continuous wave (FMCW) radar, and a comprehensive algorithm based on spectrum refinement and the extended differentiate and cross multiply al-gorithm (DCMA) has been proposed. Firstly, the improved DFT algorithm is used to accurately obtain the distance window of human body. Secondly, phase ambiguity in phase extraction is avoided based on extended DCMA algorithm. Then, the spectrum range of refinement is determ-ined according to the peak position of the spectrum, and the respiratory and heartbeat frequency information is obtained by using chirp z-transform (CZT) algorithm to perform local spectrum re-finement. For verification, this paper has simulated the radar echo signal modulated by the simu-lated cardiopulmonary signal according to the proposed algorithm. By recovering the simulated car-diopulmonary signal, the high-precision respiratory and heartbeat frequency have been obtained. The results show that the proposed algorithm can effectively restore human breathing and heart-beat signals, and the relative error of frequency estimation is basically kept below 1.5％.

文献关键词：

中图分类号：

[1] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391）

[2] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391） / 模式识别与装置（TP391.4）

[3] 天文学、地球科学（P） / 地球物理学（P3） / 空间物理（P35）

作者姓名：

Mingxu Xiang;Wu Ren;Weiming Li;Zhenghui Xue

作者机构：

School of Integrated Circuits and Electronics,Beijing Institute of Technology, Beijing 100081, China

文献出处：

北京理工大学学报（英文版）

引用格式：

[1]Mingxu Xiang;Wu Ren;Weiming Li;Zhenghui Xue-.High-Precision Vital Signs Detection Method Based on Spectrum Refinement and Extended DCMA)[J].北京理工大学学报（英文版）,2022(01):101-111

A类：

DCMA,diopulmonary

B类：

High,Precision,Vital,Signs,Detection,Method,Based,Spectrum,Refinement,Extended,In,this,paper,spectral,estimation,algorithm,extended,detection,human,vi,signs,by,wave,frequency,modulated,continuous,FMCW,radar,comprehensive,spectrum,refinement,differentiate,cross,multiply,been,proposed,Firstly,improved,DFT,used,accurately,distance,window,body,Secondly,phase,ambiguity,extraction,avoided,Then,range,determ,according,peak,position,respiratory,heartbeat,information,obtained,using,chirp,transform,CZT,perform,local,For,verification,simulated,echo,cardiopulmonary,By,recovering,high,precision,have,results,show,that,can,effectively,restore,breathing,signals,relative,error,basically,kept,below

AB值：

0.527211

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