超宽带雷达非接触式的生命体征监测系统可以有效解决传统测量仪器的许多弊端。文中利用超宽带雷达穿透能力强、分辨率高等优点,可以得到人体的生命体征信息,结合空间谱估计的多重分类(MUSIC)算法估计人体呼吸和心跳频率。通过P440 超宽带雷达模块在0. 8 m、1. 0 m、1. 2 m、1. 4 m 得到人体回波数据,经过信号处理以及MUSIC 算法得到人体呼吸频率和心跳频率。结果表明:回波图在1. 4 m 处得到的波形相对较好,频谱图在1. 4 m 处得到的呼吸频率和心跳频率较为准确,且谱图较为干净,不存在其他尖峰。

The non-contact vital sign monitoring system of ultra-wideband radar can effectively solve many disadvantages of traditional measuring instruments. In this paper, the human body′s vital signs information can be obtained by using the advantages of UWB radar′s strong penetration ability and high resolution, and the respiratory and heartbeat frequencies of human body can be estimated by combining with the MUSIC algorithm of spatial spectrum estimation. Human body echo data are obtained by P440 UWB radar module at 0. 8 m, 1. 0 m, 1. 2 m and 1. 4 m, and human respiratory rate and heart rate are obtained by signal processing and MUSIC algorithm. The results show that the waveform obtained from the echo diagram at 1. 4 m is relatively good, and the respiratory frequency and heart rate obtained from the spectrum diagram at 1. 4 m are more accurate, and the spectrum diagram is relatively clean, and there is no other spike.

TN957.51