一种基于稀疏表示与聚类的辐射源智能识别方法

An Intelligent Recognition Method of Radiation Source Based on Sparse Representation and Clustering

在电磁环境日益复杂的条件下,传统辐射源信号识别方法不足以快速有效地进行目标识别,提出了一种基于稀疏表示与聚类的辐射源智能识别方法,对辐射源稀疏表示,将其降维至一个较小的平滑空间中进行聚类处理。仿真实验结果表明,该方法可以高效地处理海量辐射源数据,避免带有专业标签的高质量数据较少、对辐射源类型标签难以完全掌握的问题。

In increasingly complex electromagnetic environment,radiation source signal can not be recognized fast and effectively by traditional method.This paper presents an intelligent identification method of radiation source based on sparse representation and clustering,which can reduce the dimension to a small smooth interval for clustering after sparse representation of radiation sourse.Simulative experiment results show this method can efficiently process a large amount of radiation source data and avoide the problem of low quality data with specialty label and difficult mastering the type label of radiation source.