多载频MIMO雷达中目标旋转部件三维微动特征提取方法

Three-Dimensional Micro-Motion Feature Extraction of Target with Rotating Parts in Multi-Carrier MIMO Radar

雷达目标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.将多输入多输出(MIMO)雷达技术引入雷达目标微多普勒效应研究,在分析多载频MIMO雷达中目标旋转部件微多普勒效应的基础上,提出了一种雷达目标三维微动特征提取方法.该方法通过在回波时频平面上消除目标主体运动产生的多普勒频移,构造相应的Hough变换方程提取时频平面上曲线骨架的参数,再利用MIMO雷达的多视角特性,构建多元非线性方程组求解旋转部件的三维运动参数,从而实现了目标三维微动特征的提取.仿真实验验证了算法的有效性,并对算法的鲁棒性进行了进一步的分析.

The micro-Doppler（m-D） effect,which provides a new approach for accurate auto radar target recognition,has attracted great research attention in recent years.In this paper,the multi-input multi-output（MIMO） techniques are introduced for the m-D feature extraction.Based on the analysis of m-D effect induced by radar target with rotating parts in multi-carrier MIMO radar,an algorithm for three-dimensional micro-motion feature extraction is proposed.In the algorithm,the Doppler frequency shift induced by the target body is eliminated from the time-frequency plane of echoes,and the parameters of the curve skelectons on the time-frequency plane are extracted by utilizing the Hough transform,then the three-dimensional micro-motion features can be obtained by solving nonlinear multivariable equation systems.Simulations validate the effectiveness of the algorithm,and the robustness of the algorithm is also analyzed.