基于FMCW毫米波雷达的舱内活体检测及干扰抑制方法  

In-cabin in-vivo detection and interference suppression method based on FMCW millimeter wave radar

作　　者：郭栋财 夏伟杰[1] 蔡炜锋 李毅 GUO Dongcai;XIA Weijie;CAI Weifeng;LI Yi(College of Electronic Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

机构地区：[1]南京航空航天大学电子信息工程学院,江苏南京210016

出　　处：《传感器与微系统》2024年第12期160-164,共5页Transducer and Microsystem Technologies

摘　　要：针对儿童被遗留在车内导致的事故频发问题,毫米波雷达由于隐私性好、成本低的优势成为舱内活体检测的主流选择。目前活体检测雷达把呼吸信号作为检测依据,但舱内密闭金属空间的强杂波干扰问题是主要的技术挑战。为解决此问题,提出一种时频域与幅度相位相结合的干扰抑制方法。首先,对时域信号提取的幅度和相位分别作傅里叶变换到频域;然后,将幅度频谱、相位频谱及去除帧间干扰后的时域幅度信号取模相乘生成干扰抑制图;最后,对干扰抑制图进行后处理得到活体检测结果。实测数据表明,该算法可以有效地抑制强杂波干扰,降低漏报和虚警的概率,完成舱内活体检测。Aiming at the increasing number of accidents caused by children left in car,millimeter wave radar are the mainstream choice for in-cabin living detection due to its advantages of good privacy and low cost.At present,respiration signal is used as the basis of detection in living detection radar,but the problem of strong clutter interference in enclosed metal space in cabin is the main technical challenge.To solve this problem,a method of interference suppression combining time-frequency domain and amplitude phase is proposed.Firstly,the amplitude and phase extracted from the time-domain signal are transformed into the frequency domain by Fourier transform,respectively.And then,the amplitude spectrum,phase spectrum and the time-domain amplitude signal after the removal of interframe interference are multiplied by modulo to generate the interference suppression diagram.Finally,the interference suppression diagram is post-processed to obtain the in-vivo detection results.The measured data show that this algorithm can effectively suppress the strong clutter interference,reduce the probability of missing and false alarm,and complete the in-cabin live detection.

关 键 词：毫米波雷达 活体检测 车载雷达 干扰抑制 

分 类 号：TN958.9[电子电信—信号与信息处理]