雷达科学与技术2024，Vol.22Issue(5)：495-506,12.DOI:10.3969/j.issn.1672-2337.2024.05.004
基于FMCW雷达的多目标生命体征检测与干扰抑制算法
Research on Multi-Target Non-Contact Vital Signs Detection Algorithm Based on FMCW Radar
摘要
Abstract
In order to solve the problems that traditional algorithms cannot distinguish multiple targets with the same distance and multi-target vital signs signal detection is susceptible to interference when using radar for vital signs detection,a novel multi-target vital signs detection algorithm based on frequency modulate continuous wave(FMCW)radar is proposed in this paper.Based on MIMO radar echo data,the range-azimuth fast fourier transform(FFT)is used to locate the range and azimuth angle of the target,and to solve the problem of target resolution at the same range.Then,the variance method is used to filter out the static clutter and the DC components.Aiming at the problem that vital signs signals are susceptible to interference,this paper uses variational mode decomposition(VMD)algorithm to separate and reconstruct breathing and heartbeat signals,eliminate invalid signal components.Then,the reconstructed signals are denoised by autocorrelation and singular value decomposition(SVD)to obtain clean breathing and heartbeat signals.Through multiple experimental tests,compared with traditional FFT spectrum analysis method,VMD signal reconstruc-tion method and complete ensemble empirical mode decomposition with adaptive noise combined independent compo-nent analysis(CEEMDAN-ICA)algorithm,the average error of heart rate detection of this algorithm is reduced by 8.43%,5.66%and 1.43%respectively,which verifies the effectiveness of the proposed algorithm.In addition,the robustness experiment of the algorithm and the analysis of the boundary conditions of engineering applications are also carried out in the paper.关键词
调频连续波雷达/生命体征检测/自相关/奇异值分解/变分模态分解Key words
FMCW radar/vital signs detection/autocorrelation/singular value decomposition/variational mode decomposition分类
信息技术与安全科学引用本文复制引用
蒋留兵,贺跃龙,车俐,黄乾超..基于FMCW雷达的多目标生命体征检测与干扰抑制算法[J].雷达科学与技术,2024,22(5):495-506,12.基金项目
国家自然科学基金项目(No.61561010) （No.61561010）
广西创新驱动发展专项资助(No.桂科AA21077008) （No.桂科AA21077008）
"广西无线宽带通信与信号处理重点实验室"2022年主任基金项目资助(No.GXKL06220102,GXKL06220108) （No.GXKL06220102,GXKL06220108）
八桂学者专项经费资助(No.2019A51) （No.2019A51）
桂林电子科技大学研究生教育创新计划资助项目(No.2022YXW07,2023YXW02) （No.2022YXW07,2023YXW02）
桂林电子科技大学研究生教育创新计划资助项目(No.2022YCXS080,2023YCXS047,2023YCXS022) （No.2022YCXS080,2023YCXS047,2023YCXS022）
广西研究生教育创新计划资助项目(No.YCSW2023317,YCSW2022271) （No.YCSW2023317,YCSW2022271）
