人运动的雷达散射回波的获取是研究人微多普勒特征的关键问题。
How to get the proper radar echo is a key problem in research of the micro-doppler features of human beings.
微动目标电磁散射响应中包含了精细的微多普勒特征信息，因此从雷达特征信号中可以推断出微动目标的特性。
The backscatter of a target with micro-motions contains fine micro-Doppler features, which enables us to determine some unique properties of the target.
采用了短时傅里叶变换方法对仿真信号进行了时频分析，得到了能够较好地反映目标特征的微多普勒图像。
Short time Fourier transform was used to analyze the simulated signal in the time-frequency domain, a micro-Doppler image that can demonstrate the target characteristics was generated.
本论文主要研究采用多种特征提取方法对激光微多普勒信号进行时-频分析、多尺度分析和相关变换技术。
This paper includes studying many feature extraction methods such as time-frequency method, multi-resolution analysis and correlation analysis to analyze the Micro-Doppler signal.
本论文主要研究采用多种特征提取方法对激光微多普勒信号进行时-频分析、多尺度分析和相关变换技术。
This paper includes studying many feature extraction methods such as time-frequency method, multi-resolution analysis and correlation analysis to analyze the Micro-Doppler signal.
应用推荐