Multiperson respiratory monitoring using single-channel continuous-wave radar with time modulated array

Guan, L., Wu, T., Yang, X., Zhao, N., Zhang, Z., Alomainy, A., Imran, M. A. and Abbasi, Q. H. (2023) Multiperson respiratory monitoring using single-channel continuous-wave radar with time modulated array. IEEE Transactions on Instrumentation and Measurement, 72, 4008111. (doi: 10.1109/TIM.2023.3287258)

Abstract

Radio frequency (RF) signals are widely used in respiratory detection due to their non-contact, remote sensing advantages. In order to satisfy multi-person monitoring, the existing RF sensing system greatly increases the complexity of the feeder network, which will affect the stability of the system and have high maintenance costs. In this study, we propose a single-channel, low-complexity multi-person respiratory monitoring system. It uses a time modulated array (TMA) to detect the position and respiration rate of multiple targets. The TMA is reconstructed into a conventional multichannel array by the harmonic recovery method. Beamforming is used to scan the scene horizontally. At the same time, the beamformed signal is converted to the frequency domain to construct the angle of arrival-frequency map (AFM). By forming a beam pointing to the target, the time domain respiration signal of each target can be acquired. The experimental results show that the maximum RR estimation errors of the proposed system in single-person, two-person, and three-person scenarios are 0.77 bmp, 0.96 bmp, and 1.32 bmp, respectively. In addition, the Bland-Altman analysis shows that our system has good consistency with the reference sensor.

• Item Type: Articles
• Additional Information: This work was supported in part by the Key Research and Development Program of Shaanxi under Grant 2022KW-44; in part by the National Natural Science Foundation of China under Grant 61671349, Grant 62271372, and Grant 62201413; in part by the Innovation Capability Support Program of Shaanxi under Grant 2021TD-07; and in part by the Natural Science Basic Research Program of Shaanxi under Program 2022JQ666.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Abbasi, Professor Qammer
• Authors: Guan, L., Wu, T., Yang, X., Zhao, N., Zhang, Z., Alomainy, A., Imran, M. A., and Abbasi, Q. H.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: IEEE Transactions on Instrumentation and Measurement
• Publisher: IEEE
• ISSN: 0018-9456
• ISSN (Online): 1557-9662
• Published Online: 19 June 2023
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in IEEE Transactions on Instrumentation and Measurement 72:4008111
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher