CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs
In recent years, radar, especially frequency-modulated continuous wave (FMCW) radar, has been extensively used in non-contact vital signs (NCVS) research. However, current research does not work when multiple human targets are close to each other, especially when adjacent human targets lie in the sa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/12/2732 |
| _version_ | 1797595092658159616 |
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| author | Xichao Dong Yun Feng Chang Cui Jun Lu |
| author_facet | Xichao Dong Yun Feng Chang Cui Jun Lu |
| author_sort | Xichao Dong |
| collection | DOAJ |
| description | In recent years, radar, especially frequency-modulated continuous wave (FMCW) radar, has been extensively used in non-contact vital signs (NCVS) research. However, current research does not work when multiple human targets are close to each other, especially when adjacent human targets lie in the same resolution cell. In this paper, a novel method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)–independent component analysis (ICA) was proposed to obtain the vital-sign information (including respiratory rate and heart rate) of adjacent human targets by using a single FMCW radar. Firstly, the data observed at a single angle were decomposed by the CEEMDAN separation algorithm to construct virtual multi-angle observations. It can effectively transform the undetermined blind source separation (UBSS) problem into an overdetermined blind source separation (BSS) problem. Thus, a BSS algorithm based on FastICA can be used to reconstruct each person’s vital-sign signal and then calculate their respiratory rate/heart rate. To validate the effectiveness of the proposed method, experiments based on the measured data were conducted and the results show that the proposed method can obtain multi-target vital-sign information even when they are in the same resolution cell. |
| first_indexed | 2024-03-11T02:32:34Z |
| format | Article |
| id | doaj.art-46a86ecb1f6f4ec49eb583efc631f6f5 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T02:32:34Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-46a86ecb1f6f4ec49eb583efc631f6f52023-11-18T10:09:48ZengMDPI AGElectronics2079-92922023-06-011212273210.3390/electronics12122732CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital SignsXichao Dong0Yun Feng1Chang Cui2Jun Lu3Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, ChinaBeijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, ChinaBeijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, ChinaBeijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, ChinaIn recent years, radar, especially frequency-modulated continuous wave (FMCW) radar, has been extensively used in non-contact vital signs (NCVS) research. However, current research does not work when multiple human targets are close to each other, especially when adjacent human targets lie in the same resolution cell. In this paper, a novel method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)–independent component analysis (ICA) was proposed to obtain the vital-sign information (including respiratory rate and heart rate) of adjacent human targets by using a single FMCW radar. Firstly, the data observed at a single angle were decomposed by the CEEMDAN separation algorithm to construct virtual multi-angle observations. It can effectively transform the undetermined blind source separation (UBSS) problem into an overdetermined blind source separation (BSS) problem. Thus, a BSS algorithm based on FastICA can be used to reconstruct each person’s vital-sign signal and then calculate their respiratory rate/heart rate. To validate the effectiveness of the proposed method, experiments based on the measured data were conducted and the results show that the proposed method can obtain multi-target vital-sign information even when they are in the same resolution cell.https://www.mdpi.com/2079-9292/12/12/2732vital signsFMCW radarblind source separation |
| spellingShingle | Xichao Dong Yun Feng Chang Cui Jun Lu CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs Electronics vital signs FMCW radar blind source separation |
| title | CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs |
| title_full | CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs |
| title_fullStr | CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs |
| title_full_unstemmed | CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs |
| title_short | CEEMDAN-ICA-Based Radar Monitoring of Adjacent Multi-Target Vital Signs |
| title_sort | ceemdan ica based radar monitoring of adjacent multi target vital signs |
| topic | vital signs FMCW radar blind source separation |
| url | https://www.mdpi.com/2079-9292/12/12/2732 |
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