基于统计特征的微弱生命体征信号提取研究  

Study on Weak Vital Sign Signal Extraction Based on Statistic Feature

作　　者：韩喆 郑志成 张荣磊 董铮 

机构地区：[1]武汉滨湖电子有限责任公司,武汉430077

出　　处：《火控雷达技术》2013年第1期9-12,共4页Fire Control Radar Technology

摘　　要：穿墙探测是雷达技术在新领域的大胆应用。本文以公司正在开发的穿墙探测雷达为基础,研究了经过人体运动(包括躯干运动和呼吸心跳等生命体征运动)调制的雷达回波的构成。根据目标回波与干扰噪声的时、频域差异,提出了以统计特征方差为判别依据的雷达生命体征信号提取算法,并用公司样机进行实验,以实际采集的数据验证了算法的有效性。Through wall detection is an important application of radar technology in the new field. Based on a through wall detection radar under development, composition of radar echo modulated by human motion （ including vital signs such as movement of trunk, breathing, heart beating, ete） is studied. According to time and frequency domain differences between target echo and noise, a vital sign signal extraction algorithm by using statistic feature variance as criterion is proposed. Experiments test by using the through wall detection radar is conduced; data col- lected during the test show that the algorithm is effective.

关 键 词：穿墙探测 生命信号 多普勒效应 方差 

分 类 号：TN95[电子电信—信号与信息处理]