单通道超宽带雷达人体姿态增量估计技术  

Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology

作　　者：李柯蒙 戴永鹏 宋勇平 周小龙 宋永坤 金添 LI Kemeng;DAI Yongpeng;SONG Yongping;ZHOU Xiaolong;SONG Yongkun;JIN Tian(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;School of Computer and Communication Engineering,Changsha University of Science and Technology,Changsha 410114,China)

机构地区：[1]国防科技大学电子科学学院,长沙410073 [2]长沙理工大学计算机与通信工程学院,长沙410114

出　　处：《雷达学报(中英文)》2025年第1期16-27,共12页Journal of Radars

基　　金：国家自然科学基金(61971430)。

摘　　要：该文针对光学与雷达传感器融合人体姿态估计研究,基于连续时间微动累积量与姿态增量的物理对应关系,提出了一种单通道超宽带雷达人体姿态增量估计方案。具体来说,通过构造空时分步增量估计网络,采用空域伪3D卷积层与时域膨胀卷积层分步提取空时微动特征,将其映射为时间段内人体姿态增量,结合光学提供的姿态初值,实现人体三维姿态估计。实测数据结果表明,融合姿态估计在原地动作集取得5.38 cm估计误差,并能够实现一段时间行走动作连续姿态估计。与其他雷达姿态估计对比和消融实验证明了该文方法的优势。This study focuses on integrating optical and radar sensors for human pose estimation.Based on the physical correspondence between the continuous-time micromotion accumulation and pose increment,a single-channel ultra-wideband radar human pose-incremental estimation scheme is proposed.Specifically,by constructing a spatiotemporal incremental estimation network,using spatiotemporal pseudo-3D convolutional and time-domain-dilated convolutional layers to extract spatiotemporal micromotion features step by step,mapping these features to human pose increments within a time period,and combining them with the initial pose values provided by optics,we can realize a 3D pose estimation of the human body.The measured data results show that fusion attitude estimation achieves an estimation error of 5.38 cm in the original action set and can achieve continuous attitude estimation for the period of walking actions.Comparison and ablation experiments with other radar attitude estimation methods demonstrate the advantages of the proposed method.

关 键 词：单通道超宽带雷达 人体姿态估计 增量估计 微动特征 连续姿态 

分 类 号：TN958.95[电子电信—信号与信息处理]