Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems
Date
2018
Authors
Liang, Xiaolin
Wang, Yuankai
Wu, Shiyou
Gulliver, Thomas Aaron
Journal Title
Journal ISSN
Volume Title
Publisher
Sensors
Abstract
This paper analyzes and discusses the capability of human being detection using impulse
ultra-wideband (UWB) radar with an improved detection algorithm. The multiple automatic gain
control (AGC) technique is employed to enhance the amplitudes of human respiratory signals.
Two filters with seven values averaged are used to further improve the signal-to-noise ratio (SNR) of
the human respiratory signals. The maximum slope and standard deviation are used for analyzing
the characteristics of the received pulses, which can provide two distance estimates for human being
detection. Most importantly, based on the two distance estimates, we can accurately judge whether
there are human beings in the detection environments or not. The data size can be reduced based
on the defined interested region, which can improve the operation efficiency of the radar system for
human being detection. The developed algorithm provides excellent performance regarding human
being detection, which is validated through comparison with several well-known algorithms.
Description
Keywords
impulse ultra-wide band (UWB) radar, automatic gain control (AGC), interested region, human respiratory signals, interested region
Citation
Liang, X., Wang, Y., Wu, S., & Gulliver, T. A. (2018). Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems. Sensors. 18(9), 1-18. https://doi.org/10.3390/s18093065.