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Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement
The quadrature continuous-wave (QCW) radar has been extensively studied for small vibrational displacement detection such as non-contact sensing of human vital signals. One of the challenges of the QCW radar is the IQ-imbalance and DC-offset estimation by using curve fitting algorithms. Many algorit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494833/ https://www.ncbi.nlm.nih.gov/pubmed/31043641 http://dx.doi.org/10.1038/s41598-019-43205-7 |
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author | Kim, Dong Kyoo Kim, Youjin |
author_facet | Kim, Dong Kyoo Kim, Youjin |
author_sort | Kim, Dong Kyoo |
collection | PubMed |
description | The quadrature continuous-wave (QCW) radar has been extensively studied for small vibrational displacement detection such as non-contact sensing of human vital signals. One of the challenges of the QCW radar is the IQ-imbalance and DC-offset estimation by using curve fitting algorithms. Many algorithms have been proposed and have shown that the fitting error increases when the displacement length is small, in which case sufficient data is not provided to the algorithms. This paper presents a quadrature frequency-group (QFG) radar which utilizes a group of frequencies to enhance the fitting performance even with the small displacement. The grouped-frequencies in the QFG radar gives more data than the single-tone of the QCW radar under the same displacement condition. This paper presents the framework and properties of the QFG radar. Some fitting algorithms for the QFG radar are presented and the most adequate algorithm is suggested by simulation and experiments. Simulation and experimental results shows that the QFG radar outperforms the QCW radar. Specifically, it is shown that the fitting accuracy of the QFG radar is up to 100 times better than the QCW radar in the experiment. |
format | Online Article Text |
id | pubmed-6494833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64948332019-05-17 Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement Kim, Dong Kyoo Kim, Youjin Sci Rep Article The quadrature continuous-wave (QCW) radar has been extensively studied for small vibrational displacement detection such as non-contact sensing of human vital signals. One of the challenges of the QCW radar is the IQ-imbalance and DC-offset estimation by using curve fitting algorithms. Many algorithms have been proposed and have shown that the fitting error increases when the displacement length is small, in which case sufficient data is not provided to the algorithms. This paper presents a quadrature frequency-group (QFG) radar which utilizes a group of frequencies to enhance the fitting performance even with the small displacement. The grouped-frequencies in the QFG radar gives more data than the single-tone of the QCW radar under the same displacement condition. This paper presents the framework and properties of the QFG radar. Some fitting algorithms for the QFG radar are presented and the most adequate algorithm is suggested by simulation and experiments. Simulation and experimental results shows that the QFG radar outperforms the QCW radar. Specifically, it is shown that the fitting accuracy of the QFG radar is up to 100 times better than the QCW radar in the experiment. Nature Publishing Group UK 2019-05-01 /pmc/articles/PMC6494833/ /pubmed/31043641 http://dx.doi.org/10.1038/s41598-019-43205-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kim, Dong Kyoo Kim, Youjin Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement |
title | Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement |
title_full | Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement |
title_fullStr | Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement |
title_full_unstemmed | Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement |
title_short | Quadrature Frequency-Group Radar and its center estimation algorithms for small Vibrational Displacement |
title_sort | quadrature frequency-group radar and its center estimation algorithms for small vibrational displacement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6494833/ https://www.ncbi.nlm.nih.gov/pubmed/31043641 http://dx.doi.org/10.1038/s41598-019-43205-7 |
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