基于EEMD和频带能量比特性的人与动物雷达微动信号辨识

殷悦,于霄,吕昊,祁富贵,张自启,王健琪

中国医疗设备 ›› 2018, Vol. 33 ›› Issue (10) : 27-31.

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中国医疗设备 ›› 2018, Vol. 33 ›› Issue (10) : 27-31. DOI: 10.3969/j.issn.1674-1633.2018.10.007
论著

基于EEMD和频带能量比特性的人与动物雷达微动信号辨识

  • 殷悦,于霄,吕昊,祁富贵,张自启,王健琪
作者信息 +

Micro-Vibration Distinguishment of Radar Between Humans and Animals Based on EEMD and Energy Ratio Characteristics

  • YIN Yue, YU Xiao, LV Hao, QI Fugui, ZHANG Ziqi, WANG Jianqi
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摘要

生物雷达是一种可穿透非金属介质、非接触探测到生命体的特殊雷达。它通过检测由生命体呼吸和体动等所引起的 微动,从而探测生命体。对于生命体辨识的研究,目前多为运动状态下的目标动作辨识,而对静止状态的目标类型辨识仍 然存在困难。为解决上述问题,本文根据生命体的回波信号特性,选择聚合经验模态分解处理非平稳的生命体微动信号。 然后利用噪声和一般信号的自相关函数特性不同,重构目标微动信号,根据微动信号在参考频带上的能量占比大小辨识人 与动物。数据处理结果表明,人和兔的频带能量比数值明显不同,差异具有统计学意义(P<0.001)。本方法在一定程度上 可以区分人与兔目标,使静止状态下人与动物的辨识成为可能。

Abstract

Bio-radar is a kind of special radar which can penetrate nonmetallic medium and detect living bodies in non-contact situation. The radar can recognize living bodies through detecting micro-vibrations caused by respiration, body movement and so on. With regard to the recognition of the living body, most studies are about activity recognition in motion state. However, it still remains difficult to identify motionless targets. To solve the above problem, we chose ensemble empirical mode decomposition method to analyze the non-stationary micro-vibration signal based on echo properties of living body. Then, in order to reconstruct micro-vibration signal, we utilized different characteristics of self-correlation function between the noise and general signal. Finally, we could distinguish humans from animals according to the energy ratio of micro-vibration signal in the reference band. Experimental results showed that the energy ratios of frequency band between humans and rabbits were obviously different and the difference was statistically significant (P<0.001). The method we proposed can distinguish between humans and rabbits to a certain extent, making it possible to recognize motionless humans and animals.

关键词

生物雷达 / 聚合经验模态分解 / 自相关函数 / 频带能量比

Key words

bio-radar / ensemble empirical mode decomposition / self-correlation function / energy ratio of frequency band

引用本文

导出引用
殷悦, 于霄, 吕昊, . 基于EEMD和频带能量比特性的人与动物雷达微动信号辨识[J]. 中国医疗设备, 2018, 33(10): 27-31 https://doi.org/10.3969/j.issn.1674-1633.2018.10.007
YIN Yue, YU Xiao, LV Hao, et al. Micro-Vibration Distinguishment of Radar Between Humans and Animals Based on EEMD and Energy Ratio Characteristics[J]. China Medical Devices, 2018, 33(10): 27-31 https://doi.org/10.3969/j.issn.1674-1633.2018.10.007
中图分类号: TN957   

参考文献

[1] Staderini EM.UWB radars in medicine[J].IEEE Aeros Elec Sys Mag,2002,17(1):13-18.

基金

国家自然科学基金(81601567,61327805)。

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