基于多阶段分类的雷达目标识别

RANGE PROFILE IDENTIFICATION BASED ON MULTISTAGE CLASSIFICATION 

讨论了用一种新的识别系统识别高分辨雷达距离像 (HRRP) .它先在 K- L 变换对距离像进行特征压缩后 ,用聚类分析进行识别或基于某个规则排除某些种类 ,再对不能识别的模式 ,用种类少时效果好的最佳鉴别准则对模式进行特征提取 ,然后用模糊 ARTMAP网络组进行分类 .

A novel range profile identification system based on multiple classification was discussed. After feature compression with K L transform, one can get a rough identification result by clustering or eliminate impossible candidates according to some rules. The remainder is identified by fuzzy ARTMAP neural network with the feature extraction of the optimal set based on the Fisher criterion. The experiment shows that this classifying method could be more effective than the single classifier method.