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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Main Authors: Hana Pratiwi, Mujib R. Hidayat, A. A. Pramudita, Fiky Y. Suratman
Format: Article
Language:English
Published: Indonesian Institute of Sciences 2019-12-01
Series:Jurnal Elektronika dan Telekomunikasi
Subjects:
Online Access:https://www.jurnalet.com/jet/article/view/310
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spelling 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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