基于小波和BP神经网络的无线电探测目标识别技术  

A Technique of Recognition for Radio Detected Target Based on Wavelet and Neural Network Theory

作　　者：桂延宁[1] 焦李成[1] 张福顺[2] 

机构地区：[1]西安电子科技大学雷达与信号重点实验室,陕西西安710071 [2]西安电子科技大学天线与微波重点实验室,陕西西安710071

出　　处：《电子学报》2003年第12期1811-1814,共4页Acta Electronica Sinica

摘　　要：目标识别是智能弹药研发的关键技术之一 ,本文采用小波变换和BP神经网络理论对无线电探测目标识别技术进行了研究 ,给出了分类识别算法 ,并用实测数据进行了实验验证 ,结果表明该识别算法具有很高的目标识别率 .Target recognition is a key technique in developing intelligent ammunition.The technique of recognition for radio detected targets is discussed with wavelet and neural network theory in this paper.A recognition algorithm is given and it is also verified by the data which is obtained from engineering measurement.It is shown that the rate of target recognition is increased with this algorithm.

关 键 词：神经网络 目标识别 小波变换 无线电探测 分类识别算法 

分 类 号：TN957.51[电子电信—信号与信息处理] TP274[电子电信—信息与通信工程]