基于微多普勒特征的人体目标雷达回波信号分析

Human Target Radar Echo Signal Analysis Based on Micro-Doppler Characteristic

基于雷达的人体微动研究是近年发展起来的新技术,雷达对人体的探测有着其他传感器不具备的优势。雷达不受天气和光线的影响,可实施全天候的探测,雷达可穿透障碍物,对隐藏在障碍物后的人员实施搜索。通过信号处理手段可获取人体走动时手和腿的摆动激励的多普勒频移,用于人体生命特征的探测与识别。本文首先通过人体运动模型,对人体的雷达回波进行了建模,给出了人体各部分回波的详细表达式,分析了各部分的多普勒频移,指出了其多普勒频率调制特性与人体结构和运动参数之间的关系,最后通过魏格纳分布和W-V分布峰值检测法提取微多普勒特性,最后通过仿真实验和国外实测数据的对比,证明本文对于人体雷达回波分析方法的合理性。

Human micro-motion study based on radar is a new technique developed in recent years. Radar has an advantage over other sensors in human body detecting as radar can do all-weather detecting without influence of weather and light and can ＂penetrate through＂ barriers and detect human bodies hidden behind them. Through signal disposal measures, Doppler shift of human arms and kegs during walking can be gained so as that human vital sign may be detected and recognized. Through human motion model, the article firstly does modeling on human body radar echo, gives detailed expressions of echoes of respective parts of human body, analyzes Doppler shift of each part, points out the relationship between Doppler frequency modulation feature and human body structure and motion parameters, and finally extracts micro-Dopapler through Wigner distribution and W-V distribution peak detection and does modeling, and proves the analysis method on human body radar echo applied by the article is reasonable through simulation experiment and comparison of abroad field measurement data.