基于微多普勒特征的人体上肢运动参数估计

人体行走的雷达特征研究是近年发展起来的新的研究方向，基于雷达的人体目标探测在安全防护、灾害救援、生物力学和运动学研究等方面具有广阔的应用前景。人体走动时手和腿的摆动对回波信号产生调制，回波信号的微多普勒特征能精细地刻画体动规律，将有效地探测并估计人体的运动规律。主要研究人体上肢的雷达特征，首先以人体上肢的运动模型为基础，建立了其雷达回波模型，通过理论分析得到了参数估计的方法，通过广义Radon变换提取行人摆臂的微多普勒。最后通过仿真实验，验证了算法的有效性。

Parameter Estimation of Human Upper Limbs Motion Based on Micro-Doppler Features

Research on human walking radar feature is a new direction developed in recent years. Radar-based human target detection has a wide application future in safety protection, disaster rescue,biomechanics, and kinematics research, etc. When human body walks, motion of arms and legs shall generate modulation on echo signal, whose micro-Doppler feature can subtly depict the limb＇s motion law and efficiently detect and evaluate the motion law of human body. Mainly studies the radar feature of the upper limbs. It firstly calculated the upper limbs＇ radar echo model based on the motion model of them, and then acquired the parameter estimation method through theoretical analysis and extracted micro-Doppler of the walker＇s motion limbs through generalized radon transform. Finally justified the validity of mentioned algorithm through simulation experiment.