摘要
为提高毫米波雷达目标识别能力,提出一种基于Gabor原子变换和支持向量机(SVM)的雷达目标识别方法。该方法充分利用了Gabor原子变换在信号表示方面的有效性以及SVM在分类方面的优越性,首先将雷达回波信号进行Gabor原子变换,获得信号的特征量,然后利用SVM网络进行分类识别。实验结果表明:该方法可行且具有较高的识别率。
In order to improve the ability of target recognition of millimeter wave radar, a method of target recognition based on Gabor atom transform and support vector machine（SVM） was proposed. The Gabor atom transform＇s validity in signal expression and the SVM＇s advantage in signal classification are fully utilized in the method. The features of echo signals of radar were extracted by Gabor atom transform and classified and recognized by SVM. The results of experiments show that the method is feasible and has higher recognition probability.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2007年第7期826-829,共4页
Acta Armamentarii
基金
国防重点预研资助项目(41305020501)
