摘要
通过分析低分辨雷达飞机目标回波波形,提取出低分辨雷达飞机目标架次可资分类的特征参数作为飞机目标架次判别的特征向量。最后,采用模糊极大极小神经网络作为分类器,在低分辨雷达目标识别样机系统对机群目标进行分类识别试验中,验证了所提取特征的有效性。
After analyzing the echo data of aircrafts based on low-resolution radar, this paper has defined and obtained some features of air crafts as an input for classification by FMM neural networks. The results prove that the features are useful to identify the size and numbers of the aircrafts formation.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2003年第4期38-41,52,共5页
Journal of National University of Defense Technology
基金
国家部委项目资助(4130304-01)
关键词
低分辨雷达
特征提取
目标识别
low resolution radar
feature extraction
target iden tification