外辐射源雷达目标旋转部件微动参数估计

大多数飞机目标具有旋转部件, 对其微动参数进行估计可为雷达目标分类识别提供重要信息.外辐射源雷达因其体制上的特点, 在微多普勒效应探测及其利用等方面具有独特优势.文中结合压缩感知理论提出了一种目标旋转部件微动参数估计新方法, 该方法基于微多普勒信号内在特性来构造字典矩阵, 将常规的微动参数估计问题转化为稀疏信号恢复问题.仿真与实测数据处理结果验证了所提方法的有效性和鲁棒性.

Micromotion parameters estimation for rotating structures on target in passive radar

Since most aircraft targets have rotating structures, the estimation of micromotion parameters for rotating structures on target can provide important information for radar target classification and recognition. Passive radars have some unique advantages in terms of detection and utilization of micro-Doppler effect due to the characteristics of the system. Based on compressive sensing theory, this paper proposes a method of micromotion parameters estimation for rotating structures on target. This method constructs dictionary matrix according to the inherent property of the micro-Doppler signal, and converts the problem of conventional micromotion parameters estimation to the problem of sparse signal recovery. The simulation and real measured data results confirm the validity and robustness of the proposed method.