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.