Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Dong Kyoo, Kim, Youjin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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
_version_ 1783415281492688896
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
work_keys_str_mv AT kimdongkyoo quadraturefrequencygroupradaranditscenterestimationalgorithmsforsmallvibrationaldisplacement
AT kimyoujin quadraturefrequencygroupradaranditscenterestimationalgorithmsforsmallvibrationaldisplacement