基于区间灰关联的未知雷达辐射源智能识别

Intelligent Recognition Method Based on Interval Grey Association for Unknown Radar Emitter

对未知雷达辐射源的分类识别是一个难点问题,提出了一种基于区间灰关联的未知雷达辐射源智能识别方法。该方法采用产生式规则表示专家知识,然后在采用区间型知识灰关联分析的基础上,利用二级匹配的知识推理方法,识别未知雷达辐射源工作状态,并进一步进行威胁分析。仿真表明,该方法是有效可行的,为未知雷达辐射源的识别提供了一种新思路。

The classification and recognition of unknown radar emitter is a difficult problem. To solve the problem of recognizing the unknown radar emitter, an intelligent recognition method based on interval grey association for unknown radar emitter is proposed. This method first uses production rule to express the expert knowledge, and then uses the two-level matching knowledge reasoning algorithm to recognize the working state of unknown radar emitter based on the Interval knowledge and the grey association, and then gives the threat judgment about the emitter. Simulation results show that this technique is practicable and effective and offers a new idea for unknown radar emitter recognition.