低分辨率雷达目标回波波形的特征提取与分类方法研究

Study of Feature Extraction and Classification Techniques Based on Low-resolution Radar Target Waveform

分析了常规雷达实测飞机目标回波信号,研究指出目标回波波形携带与目标密切相关的信息,利用参数方法对目标波形进行分析并选取某些参数作为特征(或特征的一种表征)作为目标分类特征,可以对目标进行粗略的分类。在对目标回波进行特征分析的基础上,用抽取的特征量构造了几种目标模板。采用实测数据的实验结果表明该方法在分类效果方面的有效性:既可区分不同机型的飞机,又可把单架和多架飞机区分开来。

Based on lowresolution radar, the approach of feature extraction and target classification is studied in this paper. The methods of target classification are proposed according to the information of target waveforms. The feature extracted by target waveforms is analyzed and acted as the feature of classification. By use of these extracted features, we construct several target modules. The experiment result indicates that this classification method is fine to classify big and small aircrafts and recognize single plane and multiple planes. 