现代雷达2025，Vol.47Issue(6)：46-55,10.DOI:10.16592/j.cnki.1004-7859.20231226001
基于参数优化VMD的心率检测去噪算法
Heart Rate Detection and Denoising Algorithm Based on Parameter Optimization VMD
摘要
Abstract
Addressing the issues that static clutter and respiratory harmonic interference noise exist in non-contact vital signs detec-tion of millimeter wave radar,an improved coatis optimization algorithm based variational mode decomposition(ICOA-VMD)noise suppression algorithm is presented in this paper.The coatis optimization algorithm uses chaotic population initialization and adap-tive function distribution to improve the population diversity and global search ability of the algorithm.So,ICOA is used to search the optimum fitness parameters of VMD and determine the penalty parameters and the number of components in this paper.Then,the heartbeat signal is reconstructed to remove the interference and noise of heartbeat signal.The experimental results show that the ICOA-VMD method has the characteristics of fast convergence and high precision,and evaluation and time domain analysis through signal-to-noise ratio and mean squared error show that the proposed algorithm has better performances than wavelet transform and empirical mode decomposition.The average accuracy of the proposed method can reach 95.40%for the heart rate detection of dif-ferent subjects in the conventional environment at different distances.关键词
毫米波雷达/信号处理/心率检测/浣熊优化算法/变分模态分解Key words
millimeter wave radar/signal processing/heart rate detection/coatis optimization algorithm(COA)/variational mode decomposition(VMD)分类
计算机与自动化引用本文复制引用
肖剑,张现国,宋烨,杨小苑,程鸿亮..基于参数优化VMD的心率检测去噪算法[J].现代雷达,2025,47(6):46-55,10.基金项目
陕西省秦创原"科学家+工程师"队伍建设资助项目(2024匝CY-KXJ-161) （2024匝CY-KXJ-161）
咸阳市重点研发计划资助项目(L2024-ZDYF-GY-0004) （L2024-ZDYF-GY-0004）
