优化Zernike矩MIMO雷达图像目标识别方法

Target Identification Using MIMO Radar Images With Refined Zernike Moments

针对MIMO雷达目标识别问题,给出了一种MIMO雷达目标识别方法.首先利用二值化和杂散点抑制对MIMO雷达成像结果进行了预处理,以消除噪声干扰和MIMO雷达图像距离依赖方位分辨率所引起的图像幅度起伏;随后,基于优化Zernike矩方法构造了MIMO雷达图像的特征,采用欧式距离分类器给出了相应的识别处理步骤.最后,利用3种飞机模型的MIMO雷达像对所提出方法的性能进行了验证,仿真结果证实了所提方法的可行性.

Aimed at the target identification of MIMO radar,a method for MIMO radar target identification is put forward in this paper.First,the MIMO radar imaging is pre-processed by using the binarization and spurious reduction to eliminate the noise interference and the image amplitude fluctuation caused by range depending on azimuth resolution of the MIMO radar image,and then,the feature of the MIMO radar image is constructed based on the refined Zernike moments and the corresponding identification steps are given by using the Euclidean distance classifier.Finally,by using the MIMO images of three sorts of aircraft models the proposed method is tested.And the simulation proves that the method is of feasibility.