首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于神经网络的识别反辐射导弹方法
引用本文:文树梁.一种基于神经网络的识别反辐射导弹方法[J].系统工程与电子技术,1996(9).
作者姓名:文树梁
作者单位:航天工业总公司二院二十三所!北京100854
摘    要:本文利用反辐射导弹的飞行和电磁散射特性,给出了提取反辐射导弹特征量的方法,并用改进双向联想记忆神经网络作为识别器完成目标识别,分析表明,识别器有很好的识别效果.

关 键 词:抗干扰  反辐射导弹  识别  神经元机  雷达反干扰

A Method for Recognizing Anti-Radiation Missile Using Neural Network
Wen ShuliangBeijing Institute of Radio Measurement.A Method for Recognizing Anti-Radiation Missile Using Neural Network[J].System Engineering and Electronics,1996(9).
Authors:Wen ShuliangBeijing Institute of Radio Measurement
Institution:Wen ShuliangBeijing Institute of Radio Measurement,100854
Abstract:By using ARM'S flying and electro-magnetic scattering characteristics, the paper presents a method for extracting the features of ARM. Modified BAM is used as classifier to complete target recognition. Analysis results demonstrate that the performance of classifier is very good.
Keywords:Antagonising ARM  Target recognition  Neural network  Radar ECCM  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号