雷达高分辨距离像的特征提取算法研究

Study on Radar HRRP Feature Extraction

针对高分辨距离单元内目标散射点的复杂特性,从散射点模型理论出发,对目标散射点模型进行深入研究,分析了传统目标特征提取算法的局限性。给出了一种改进的特征提取方法,该方法首先对距离单元内的散射点进行预处理,去除噪声、强化有用信息,然后对有效的距离单元进行特征提取。基于实测数据的仿真实验结果表明:该方法能够准确反映目标的几何位置信息,在减小计算量的同时能获得较高的识别率。

Considering the complex scattering property of a target in high-resolution range cell,the author studied the scattering point model of the target based on the theory of the scattering point model,and analyzed the limitations of traditional feature extraction algorithms .An improved feature extraction method was proposed based on Relax .The original digitals were preprocessed at first to eliminate the noises and strengthen the useful information,and then the features of target were extracted in effective range cell . Simulation results based on the measured data prove that the new method can reduce the computation complexity and increase the rate of identification,while accurately supplying the geometric position information of the target .