基于HHT和频带能量比特性的人与动物雷达微动信号的辨识

Micro-Vibration Identification between Humans and Animals Based on HHT and Frequency Energy Ratio Features Using UWB Radar

目的提出一种基于希尔伯特-黄变换(Hilbert-Huang Transform,HHT)的生命体雷达微动信号辨识方法。方法构建生命体微动特征频带,通过提取边际谱和计算能量占比这两类能反映微动信号频带特性的信息实现人与兔、犬的辨识。结果根据人与两种动物的微动信号经HHT处理得到的边际谱和能量占比信息具有显著差异的特性(P<0.01),本方法区分人与动物的准确度达91.67%,精准识别人与兔、犬目标的准确度达83.33%。结论本文提出的辨识方法为静止状态下障碍物后人与多种动物的辨识提供了一种通用的新方法,对于灾害救援、反恐维稳等多种应用场合下提高搜救效率,优化救援资源等具有重要的社会价值和实际意义。

Objective Proposed an identification method of stationary living bodies based on micro-vibration radar signal using Hilbert-Huang transform(HHT).Methods The identification of human,rabbit and dog was realized by extracting marginal spectrum and calculating energy ratio,two kinds of information which can reflect the frequency band characteristics of fretting signal.Results Based on the statistically significant difference of marginal spectrum and energy ratio information(P<0.01)after HHT analysis among humans and animals,the accuracy of this method to distinguish humans and animals identification was 91.67%,and the accuracy of humans,rabbits and dogs precise identification was 83.33%.Conclusion The identification method proposed in this paper provides a new general approach to recognize motionless humans and animals and has great social value and realistic significance for increasing rescue efficiency and optimizing rescue resources in disasters and anti-terrorism situations.