基于神经网络的未知雷达辐射源智能识别技术  

An Intelligent Recognition Method Based on Neural Network for Unknown Radar Emitter

作　　者：刘凯[1,2] 王杰贵[2] 

机构地区：[1]电子信息控制重点实验室,成都610036 [2]电子工程学院,合肥230037

出　　处：《电子信息对抗技术》2013年第6期18-22,共5页Electronic Information Warfare Technology

摘　　要：提出了一种基于神经网络的未知雷达辐射源智能识别方法,该方法以实际中获得的雷达信号参数为基础,训练神经网络,对未知雷达参数进行预测识别,给出可能的工作状态,并分析其威胁程度。仿真实验表明,该方法是有效可行的,为工程上实现未知雷达辐射源的识别提供了一种新思路。For the recognition of unknown radar emitter, an intelligent recognition of method based on neural network for unknown radar emitter is proposed. To train the network based on the radar signal parameters which is obtained in practical, this method could recognize the unknown radar emitters, and give the possible working state and the threat judgment of the emitter. Simulation results show that this technique is practicable and effective, and offers a new idea for unknown radar emitter recognition.

关 键 词：未知雷达辐射源 神经网络 雷达工作状态识别 威胁分析 

分 类 号：TN971.1[电子电信—信号与信息处理]