广东工业大学学报2026，Vol.43Issue(1)：22-30,9.DOI:10.12052/gdutxb.250015
基于毫米波雷达点云的生命体征检测动态杂波抑制方法
Dynamic Clutter Suppression Method for Vital Signs Detection Based on Millimeter-wave Radar Point Clouds
摘要
Abstract
To address the issue that the presence of dynamic clutter in actual environments will affect the accuracy of human target localization and vital signs detection,a coarse-to-fine point cloud selection strategy and an adaptive variational modal decomposition method based on the quality factor are proposed to achieve the suppression of dynamic clutter and the enhancement of vital signs detection performance.First,coarse point clouds of the human body and dynamic objects are distinguished by autocorrelation analysis.Second,a spectrum-based multi-feature fusion model is proposed to select fine point cloud with strong vital signs.Third,a quality factor-based variational mode decomposition method is proposed to separate the dynamic clutter and weak vital signals.Finally,a harmonic weighting selection algorithm is proposed to adaptively extract the respiratory and heartbeat components.Experiments conducted in cluttered indoor environments show that the proposed method effectively mitigates the effects of dynamic clutter and achieves accurate detection of human vital signs in dynamic environments,achieving respiratory and heart rate accuracies of 98.01%and 98.14%,respectively.关键词
生命体征/毫米波雷达/点云/变分模态分解/动态杂波抑制Key words
vital signs/millimeter-wave radar/point cloud/variational mode decomposition/dynamic clutter suppression分类
信息技术与安全科学引用本文复制引用
刘震宇,涂思龙,叶英杰,江淡柯..基于毫米波雷达点云的生命体征检测动态杂波抑制方法[J].广东工业大学学报,2026,43(1):22-30,9.基金项目
广东省基础与应用基础研究基金资助项目(2023A1515012873) （2023A1515012873）
广东省社会发展科技协同创新项目(2023A1111120003) （2023A1111120003）
广州市重点研发项目(2023B01J0011) （2023B01J0011）
佛山市社会科学技术研究项目(2220001018608) （2220001018608）
