Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign
Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for l...
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Indonesian Institute of Sciences
2019-12-01
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doaj-2ab07f03981044e2b3d058715ed600bd2020-11-25T02:31:29ZengIndonesian Institute of SciencesJurnal Elektronika dan Telekomunikasi1411-82892527-99552019-12-01192384410.14203/jet.v19.38-44162Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital SignHana Pratiwi0Mujib R. Hidayat1A. A. Pramudita2Fiky Y. Suratman3Telkom UniversityTelkom UniversityTelkom UniversityTelkom UniversityFrequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for large bandwidths in detecting vital respiratory signs, several improvements to the FMCW system are proposed in this paper. The phase-detection concept has been elaborated in improving the capability of FMCW to detect the small displacement. In developing multi-target detection capability, range detection capability through beat frequency output needs to be combined with the phase-detection method. Theoretical and simulation studies were performed to investigate the concept of combining range detection and phase detection for detecting respiration on multi-target. The results show that the proposed method is well-performed in detecting the multi-target respiration in high noise reflection.https://www.jurnalet.com/jet/article/view/310human respirationfmcwsmall displacementsmulti-target detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hana Pratiwi Mujib R. Hidayat A. A. Pramudita Fiky Y. Suratman |
spellingShingle |
Hana Pratiwi Mujib R. Hidayat A. A. Pramudita Fiky Y. Suratman Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign Jurnal Elektronika dan Telekomunikasi human respiration fmcw small displacements multi-target detection |
author_facet |
Hana Pratiwi Mujib R. Hidayat A. A. Pramudita Fiky Y. Suratman |
author_sort |
Hana Pratiwi |
title |
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign |
title_short |
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign |
title_full |
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign |
title_fullStr |
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign |
title_full_unstemmed |
Improved FMCW Radar System for Multi-Target Detection of Human Respiration Vital Sign |
title_sort |
improved fmcw radar system for multi-target detection of human respiration vital sign |
publisher |
Indonesian Institute of Sciences |
series |
Jurnal Elektronika dan Telekomunikasi |
issn |
1411-8289 2527-9955 |
publishDate |
2019-12-01 |
description |
Frequency Modulated Continuous Wave (FMCW) radar system has been developed and applied for various needs. Based on the conventional FMCW radar concept, a large bandwidth is needed to detect small displacements in the chest wall or abdomen related with respiratory activity. To overcome the need for large bandwidths in detecting vital respiratory signs, several improvements to the FMCW system are proposed in this paper. The phase-detection concept has been elaborated in improving the capability of FMCW to detect the small displacement. In developing multi-target detection capability, range detection capability through beat frequency output needs to be combined with the phase-detection method. Theoretical and simulation studies were performed to investigate the concept of combining range detection and phase detection for detecting respiration on multi-target. The results show that the proposed method is well-performed in detecting the multi-target respiration in high noise reflection. |
topic |
human respiration fmcw small displacements multi-target detection |
url |
https://www.jurnalet.com/jet/article/view/310 |
work_keys_str_mv |
AT hanapratiwi improvedfmcwradarsystemformultitargetdetectionofhumanrespirationvitalsign AT mujibrhidayat improvedfmcwradarsystemformultitargetdetectionofhumanrespirationvitalsign AT aapramudita improvedfmcwradarsystemformultitargetdetectionofhumanrespirationvitalsign AT fikyysuratman improvedfmcwradarsystemformultitargetdetectionofhumanrespirationvitalsign |
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1724824297917120512 |