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基于统计特征的微弱生命体征信号提取研究 被引量:2

Study on Weak Vital Sign Signal Extraction Based on Statistic Feature
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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.
出处 《火控雷达技术》 2013年第1期9-12,共4页 Fire Control Radar Technology
关键词 穿墙探测 生命信号 多普勒效应 方差 through wall detection vital sign signal Doppler effect
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