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Noncontact Detection of Respiration Rate Based on Forward Scatter Radar
Fan Yang1,2, Zhiming He3, Yuanhua Fu4
1School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. 201722020930@std.uestc.edu.cn.
Abstract:
Bioradar-based noncontact breathing detection technology has been widely studied due to its superior detection performance. In this paper, a breath detection mechanism based on the change in radar cross section (RCS) is proposed by using a forward scatter radar and the deduction of the mathematical model of the received signal. Furthermore, we completed human breathing detection experiments in an anechoic chamber and in an ordinary chamber; we obtained the breathing rate through envelope detection in cases where the human orientation angle was 0, 30, 60, and 90°. The analysis of the measured data shows that the theoretical model fits well with the measured results. Compared with the existing single-base radar detection schemes, the proposed scheme can detect human respiratory rates in different orientations.
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