针对窄带雷达喷气式飞机和直升飞机的分类问题,本文提出了一种基于微多普勒特征的分类方法。首先分析了飞机旋翼转动的运动模型和微动特性;然后根据两类目标回波的不同,提出了二阶中心矩和波形熵等特征;最后利用支持向量机分类器实现了对直升飞机和喷气式飞机的分类。基于实测数据的实验结果表明,所提方法对这两类目标具有较好的分类效果。 Aiming at the classification of narrow-band radar jets and helicopters, a classification method based on micro-Doppler features is proposed in this paper. Firstly, the motion model and the fretting characteristics of aircraft rotor rotation are analyzed. Secondly, the characteristics of second-order center moment and waveform entropy are proposed according to the difference of the two target echoes. At last, the support vector machine (SVM) Jet classification. The experimental results based on the measured data show that the proposed method has better classification results for both types of targets.