中文摘要：

为解决传统体制的生命检测系统易受目标以及周围环境影响探测结果，同时克服脉冲体制检测系统结构复杂，以及信号处理方面未考虑运算量的问题。提供一种简单、方便、高效的解决方案——基于矢量网络分析仪搭建人体呼吸检测系统。通过LabVIEW实现仪器控制，采集数据并保存在上位机；在信号处理方面采用熵的方法检测回波数据快时间域上奇异区，仅对奇异区进行快速傅里叶变换（FFT）处理得到人体呼吸频率；利用mathscript进行信号在线处理并将结果在界面显示。通过实验表明，该系统能够检测均匀墙后人体的一维距离以及呼吸频率，实现在线检测的工作模式。该系统的设计证明了方案的有效性且易于实现，以及在信号处理过程中采用熵的方法减小计算量，提高了系统执行效率。

英文摘要：

A simple, convenient and high-efficient solution： human respiratory detection system based on vector network analyzer is proposed to solve the problem that the detection results of traditional life detection system are easily to be affected by targets and surrounding environment. Meanwhile, the problems of complicated structure of pulse detection system and computation quantity not considered in signal processing are overcome. Instrument control is realized through LabVIEW, the collected data is saved on host computer. In the aspect of signal processing, the entropy method is used to detect the singular region on echo data fast time domain, attain human respiratory rate is obtained by processing FFT in singular region only, and the mathscript is used to process signal online and then the results are displayed on interface. The experiments indicate that this system can detect 1 D distance of human and respiratory rate behind uniform wall and realize working mode of online detection. The design of this system proves that the program is effective and easy to implement, the adoption of entropy method in signal processing decreases the calculation quantity and improves the system implementation efficiency.