基于粗糙集的雷达辐射源信号识别

雷达信号识别是侦察系统信号处理的目的，是整个雷达对抗信号处理中的关键性环节，为解决雷达辐射源信号模式识别困难的问题，在深入研究粗糙集理论的基础上，将其同辐射源信号识别问题相结合，给出了基于粗糙集的辐射源信号识别模型。同时介绍了连续属性离散化、知识约简和规则提取的概念，给出工基于粗糙集的识别过程。实验表明该方法减少了识别的主观因素，能有效处理辐射源识别中的模糊性和不确定性，具有广阔的应用前景。

Radar emitter signal recognition based on rough set

The purpose of reconnaissance system＇s information processing is radar emitter signal recogni- tion,which is also a key step in whole process of radar reconnaissance information processing. In order to re- solve the difficult emitter recognition problem,rough set is deeply studied and introduced into emitter recogni- tion problem. A new emitter signal recognition model is established. At the same time, discrete attribute,knowl- edge reduction and rules extracting are introduced, and recognition process based on rough set is presented. At last,the simulation results illustrate that the new model reduces subject factors and can deal with the vagueness and uncertainty in radar emitter recognition,so it will have wide applications.