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

作　　者：罗迎[1] 张群[1,2] 朱仁飞[1] 梁贤姣[1] 吉楠 

机构地区：[1]空军工程大学电讯工程学院 [2]复旦大学波散射与遥感信息国家教育部重点实验室 [3]95813部队

出　　处：《电子学报》2011年第9期1975-1981,共7页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60971100);陕西省自然科学基金(No.2010JQ8007)

摘　　要：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.

关 键 词：微多普勒 多输入多输出(MIMO) 目标识别 

分 类 号：TN957[电子电信—信号与信息处理]