基于高阶矩函数的宽带雷达微动特征提取

雷达目标部件的旋转运动引起的微多普勒效应为目标精确识别提供了新的技术途径，近年来获得了广泛研究。该文以含旋转部件目标为例，提出一种基于高阶矩函数的宽带雷达微动特征快速提取方法。首先对经参考信号共轭相乘后的旋转散射点回波信号进行了分析，并得到了其关于不同快时间及慢时间的高阶矩函数，然后，通过检测该函数虚部傅里叶变换累积结果的峰值位置，实现了目标部件微动特征的快速提取。仿真实验验证了该方法的有效性。

Micro-motion Signature Extraction for Wideband Radar Based on High-order Moment Function

The micro-Doppler effect induced by the rotating parts of the target, which provides a new approach for accurate auto radar target recognition, attracts great research attention in recent years. In this paper, taking target with rotating parts for an example, a method for micro-motion signature extraction based on high-order moment function is proposed, which is suitable for the wideband radar. Firstly, the echo induced by the rotating parts is analyzed by multiplying with the conjugate of the reference signal, and its high-order moments are calculated respect to the fast time and the slow time. Then the micro-motion signature is quickly obtained by detecting the peak value of the products of the Fourier transform results of its moments imaginary parts with different time delays. A computer simulation is given to illustrate the effectiveness of the proposed method.