基于毫米波雷达的生命特征信号探测技术研究

生命特征信号探测旨在对人体信号中含有呼吸、心跳等特征参数进行检测和提取，是监测人体生命健康的重要方法之一，在信号处理、医学工程等领域均有广泛的应用。本文对基于毫米波雷达的生命特征信号探测技术进行系统综述，从提取信号的角度出发，综述了将毫米波雷达技术引入生命特征信号探测领域之后的研究成果。首先，从毫米波雷达体制方面对现存雷达技术进行了论述。然后，简要介绍了对称三角波调制方法对生命信号进行检测，考虑到将检测到的生命信号进行特征分离，总结了三种弱信号提取算法并进行对比，重点分析了小波变换和经验模态分解两种方法的研究现状。最后，本文分析了毫米波雷达在生命信号探测领域存在的问题，并对今后可能的研究趋势进行了展望。

Research on Vital Signature Signal Detection Technology Based on Millimeter Wave Radar

Using millimeter wave radar to detect the life signals has become an important technical method. Aiming at the detection accuracy improvement of millimeter wave radar, the separation problem of breathing and heartbeat signals, and the symmetrical triangle wave modulation method to test the vital signs, three kinds of weak signal extraction algorithms are summarized and compared. This paper mainly analyzes the research status of wavelet transform and empirical mode decomposition and introduces new ideas on the basis of these two algorithms, which can accurately separate breath and heartbeat signals in low SNR environment. The development trend of millimeter?wave radar in life detection is also discussed.