Through the Wall Human Subject Localization and Respiration Rate Detection using Multichannel Doppler Radar

In this paper, through-the-wall human subject localization and respiration rate detection using a multi-channel Doppler radar is proposed. The proposed methodology is used to detect respiration signal of the subject when the environment between the radar and the subject is wood, glass or any other m...

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Published inIEEE sensors journal Vol. 21; no. 2; p. 1
Main Authors Harikesh, Chauhan, Shakti Singh, Basu, Ananjan, Abegaonkar, Mahesh P., Koul, Shiban Kishen
Format Journal Article
LanguageEnglish
Published New York IEEE 15.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Angular position
Channels
Cross-correlation
Direction of Arrival
Direction-of-arrival estimation
Doppler radar
Estimation
human subject
Human subjects
Localization
Noise levels
phase difference
Radar
Radar antennas
Radar detection
Radar equipment
Respiration
respiration signal
Sensors
Online AccessGet full text
ISSN1530-437X
1558-1748
DOI10.1109/JSEN.2020.3016755

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Abstract In this paper, through-the-wall human subject localization and respiration rate detection using a multi-channel Doppler radar is proposed. The proposed methodology is used to detect respiration signal of the subject when the environment between the radar and the subject is wood, glass or any other material which resembles real-life situations. A major achievement is that angular position of multiple human subjects and their respiration rates are estimated using this technique. The proposed system also removes the null point detection problem which is present in single channel CW radar system for vital sign detection. The noise level is reduced using cross-correlation between received signals from different channels. Also, the received signals from different channels are added in phase to improve the detection. The system is compact enough to be carried on a micro-drone. This work finds application in real-life situations such as earthquake, medical-care, building collapse and patient monitoring.
AbstractList In this article, through-the-wall human subject localization and respiration rate detection using a multi-channel Doppler radar is proposed. The proposed methodology is used to detect respiration signal of the subject when the environment between the radar and the subject is wood, glass or any other material which resembles real-life situations. A major achievement is that angular position of multiple human subjects and their respiration rates are estimated using this technique. The proposed system also removes the null point detection problem which is present in single channel CW radar system for vital sign detection. The noise level is reduced using cross-correlation between received signals from different channels. Also, the received signals from different channels are added in phase to improve the detection. The system is compact enough to be carried on a micro-drone. This work finds application in real-life situations such as earthquake, medical-care, building collapse and patient monitoring.
In this paper, through-the-wall human subject localization and respiration rate detection using a multi-channel Doppler radar is proposed. The proposed methodology is used to detect respiration signal of the subject when the environment between the radar and the subject is wood, glass or any other material which resembles real-life situations. A major achievement is that angular position of multiple human subjects and their respiration rates are estimated using this technique. The proposed system also removes the null point detection problem which is present in single channel CW radar system for vital sign detection. The noise level is reduced using cross-correlation between received signals from different channels. Also, the received signals from different channels are added in phase to improve the detection. The system is compact enough to be carried on a micro-drone. This work finds application in real-life situations such as earthquake, medical-care, building collapse and patient monitoring.
Author Chauhan, Shakti Singh
Basu, Ananjan
Abegaonkar, Mahesh P.
Harikesh
Koul, Shiban Kishen
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SubjectTerms Angular position
Channels
Cross-correlation
Direction of Arrival
Direction-of-arrival estimation
Doppler radar
Estimation
human subject
Human subjects
Localization
Noise levels
phase difference
Radar
Radar antennas
Radar detection
Radar equipment
Respiration
respiration signal
Sensors
Title Through the Wall Human Subject Localization and Respiration Rate Detection using Multichannel Doppler Radar
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https://www.proquest.com/docview/2471915852
Volume 21
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