FMCW毫米波雷达多人呼吸检测方法

基于雷达的人体生命体征信号(如呼吸、心跳等)探测在诸多领域具有重要意义。当多个人体目标处于同一平面内,且雷达与多个目标共线时,会导致雷达无法检测较远距离的目标。为此,本文提出一种新的雷达空间布置方案,即将雷达布置在高处,并利用毫米波雷达高分辨率特性从距离维区分多目标,同时结合多种手段辨别人体目标和静止杂波。本文对FMCW毫米波雷达呼吸检测的信号处理流程进行了详细推导,并进行了实验验证。实验结果表明,本文所提方案可以有效地区分人体目标和静止杂波,并准确提取多目标呼吸信号和呼吸频率。此外,针对单部雷达存在空间检测盲区的问题,本文详细讨论了不同雷达数量和空间布置方案下的雷达空间检测盲区,并论证了三部不共线雷达可完全消除雷达空间检测盲区。 

Multi-target Respiration Detection Using FMCW MmWave Radar

Human vital signs (e.g. respiration and heartbeat) detection using radar is significant in many fields. The radar may fail to detect the human subjects at longer ranges if the radar is in line with multiple human subjects. To handle this, the paper proposes a new radar layout scheme, and distinguishes multiple human subjects from the range domain using high-resolution mmWave radars. This paper also integrates various methods to distinguish human subjects and stationary clutters. In this paper, the procedure of signal processing of FMCW mmWave radar is derived in detail and experimentally verified. The experimental results show that the proposed scheme in this paper can effectively distinguish human targets from stationary clutter and accurately extract multi-target respiratory rates. In addition, this paper discusses in detail the spatial blind areas of the proposed scheme under various radar numbers and spatial deployment schemes, and demonstrates that one can completely eliminate the spatial blind areas by using three noncollinear radars.