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Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources
Continuous-wave Doppler radar (CWDR) can be used to remotely detect physiological parameters, such as respiration and heart signals. However, detecting and separating multiple targets remains a challenging task for CWDR. While complex transceiver architectures and advanced signal processing algorith...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840519/ https://www.ncbi.nlm.nih.gov/pubmed/35161717 http://dx.doi.org/10.3390/s22030970 |
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author | Ishmael, Khaldoon Zheng, Yao Borić-Lubecke, Olga |
author_facet | Ishmael, Khaldoon Zheng, Yao Borić-Lubecke, Olga |
author_sort | Ishmael, Khaldoon |
collection | PubMed |
description | Continuous-wave Doppler radar (CWDR) can be used to remotely detect physiological parameters, such as respiration and heart signals. However, detecting and separating multiple targets remains a challenging task for CWDR. While complex transceiver architectures and advanced signal processing algorithms have been demonstrated as effective for multiple target separations in some scenarios, the separation of equidistant sources within a single antenna beam remains a challenge. This paper presents an alternative phase tuning approach that exploits the diversity among target distances and physiological parameters for multi-target detection. The design utilizes a voltage-controlled analog phase shifter to manipulate the phase correlation of the CWDR and thus create different signal mixtures from the multiple targets, then separates them in the frequency domain by suppressing individual signals sequentially. We implemented the phase correlation system based on a 2.4 GHz single-channel CWDR and evaluated it against multiple mechanical and human targets. The experimental results demonstrated successful separation of nearly equidistant targets within an antenna beam, equivalent to separating physiological signals of two people seated shoulder to shoulder. |
format | Online Article Text |
id | pubmed-8840519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88405192022-02-13 Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources Ishmael, Khaldoon Zheng, Yao Borić-Lubecke, Olga Sensors (Basel) Article Continuous-wave Doppler radar (CWDR) can be used to remotely detect physiological parameters, such as respiration and heart signals. However, detecting and separating multiple targets remains a challenging task for CWDR. While complex transceiver architectures and advanced signal processing algorithms have been demonstrated as effective for multiple target separations in some scenarios, the separation of equidistant sources within a single antenna beam remains a challenge. This paper presents an alternative phase tuning approach that exploits the diversity among target distances and physiological parameters for multi-target detection. The design utilizes a voltage-controlled analog phase shifter to manipulate the phase correlation of the CWDR and thus create different signal mixtures from the multiple targets, then separates them in the frequency domain by suppressing individual signals sequentially. We implemented the phase correlation system based on a 2.4 GHz single-channel CWDR and evaluated it against multiple mechanical and human targets. The experimental results demonstrated successful separation of nearly equidistant targets within an antenna beam, equivalent to separating physiological signals of two people seated shoulder to shoulder. MDPI 2022-01-26 /pmc/articles/PMC8840519/ /pubmed/35161717 http://dx.doi.org/10.3390/s22030970 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ishmael, Khaldoon Zheng, Yao Borić-Lubecke, Olga Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources |
title | Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources |
title_full | Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources |
title_fullStr | Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources |
title_full_unstemmed | Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources |
title_short | Phase Correlation Single Channel Continuous Wave Doppler Radar Recognition of Multiple Sources |
title_sort | phase correlation single channel continuous wave doppler radar recognition of multiple sources |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840519/ https://www.ncbi.nlm.nih.gov/pubmed/35161717 http://dx.doi.org/10.3390/s22030970 |
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