基于毫米波雷达的多运动目标体征检测方法研究  

Research on signs detection of multi-moving targets with millimeter wave radar

作　　者：张晓楠 庞亚军 郎利影 ZHANG Xiaonan;PANG Yajun;LANG Liying(Center for Advanced Laser Technology,Hebei University of Technology,Tianjin 300401,China;Hebei Key Laboratory of Advanced Laser Technology and Equipment,Tianjin 300401,China)

机构地区：[1]河北工业大学先进激光技术研究中心,天津300401 [2]河北省先进激光技术与装备重点实验室,天津300401

出　　处：《激光杂志》2024年第12期92-98,共7页Laser Journal

基　　金：国家自然科学基金(No.61905063);河北省自然科学基金(No.F2020202055)。

摘　　要：针对毫米波雷达非接触目标体征检测,通过模拟实验对快速运动的多目标场景进行了研究。首先获取目标位置和速度的量测信息,并通过创新的算法获得每个量测距离和角度间的对应关系,再分别用联合概率数据关联算法(JPDA)和最近邻数据关联算法(NNDA)对多目标进行跟踪,之后提取其体征相位信息,使用短时傅里叶变换算法对处理后的体征信号进行频率估计。通过实验可知,对于速度最高可达0.9 m/s的运动目标,通过此检测方法可以以较小的误差得到目标的呼吸频率;而由于心跳信号相对微弱,只能在静止状态中检测到。此方法相比其他雷达体征检测方法能以0.035 Hz的均方根误差检测速度最高可达0.9 m/s的变速运动目标的呼吸频率,且可同时检测多个目标并不易混淆。For non-contact target sign detection by millimeter wave radar,a fast-moving multi-target scene was studied through simulation experiments.First,the measurement information of the target position and speed is obtained,and the corresponding relationship between each measurement distance and angle is obtained through an innovative algorithm,and then the joint probabilistic data association(JPDA)and nearest neighbor data association(NNDA)are used respectively.Multiple targets are tracked,and then their sign phase information is extracted,and the short-time Fourier transform algorithm is used to estimate the frequency of the processed sign signal.Through experiments,it can be seen that for moving targets with speeds up to 0.9 m/s,this detection method can obtain the target's breathing frequency with a small error;however,because the heartbeat signal is relatively weak,it can only be detected in a static state.Compared with other radar sign detection methods,this method can detect the breathing frequency of the speed of 0.9 m/s at a root mean square error detection rate of 0.035,and can detect multiple targets simultaneously without being easily confused.

关 键 词：调制连续波雷达 短时傅里叶变换 多目标 体征检测 数据关联算法 

分 类 号：TN953[电子电信—信号与信息处理]