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人体运动雷达微多普勒能够为目标识别提供特征。由于行人雷达回波的复杂性,从雷达回波中提取运动参数难度很大。为了实现目标精确识别,提出了一种估计单人行走平动速度、步态周期和步长的方法。首先应用广义S变换(GST)得到雷达回波的微多普勒谱,然后提取出躯干部位的微多普勒分量,并将此分量转为一维时间频率序列,最后从序列中直接估计行走的平动速度和步态周期,用这2个估计值间接估计步长。仿真实验证明:本文方法抗噪声性能好,当信噪比大于4 d B时,估计精度高。
Micro Motion Doppler radar can provide the characteristics of target recognition. Due to the complexity of pedestrian radar echoes, it is very difficult to extract motion parameters from radar echoes. In order to achieve accurate target recognition, a method to estimate the moving speed, gait cycle and step length of single walking is proposed. Firstly, the generalized S transform (GST) is used to obtain the micro-Doppler spectrum of the radar echo. Then the micro-Doppler component of the trunk is extracted and converted into a one-dimensional time-frequency sequence. Finally, Of the translational velocity and gait cycle, using these two estimates of indirect estimation step. Simulation results show that the proposed method has good anti-noise performance and high estimation accuracy when SNR is more than 4 d B.