基于微多普勒特征的飞机分类方法研究

Study on Method of Classifying Aircrafts Based on Micro-Doppler Signatures

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 issue of classifying jet aircrafts and helicopters by narrow band radar, a classification method based on micro - Doppler effect is proposed. First, motion models and micromotion of aircraft rotor rotation is analyzed ; then, the features like second -order central moment and waveform entropy is presented; and finally, the classfication for jet aircrafts and helicopters is implemented by SVM classifier. The experiment results based on practical measured data show that the proposed method possesses favorable classifying effect for these two kinds of targets.