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.
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.
出处
《系统工程与电子技术》
EI
CSCD
1996年第9期12-19,共8页
Systems Engineering and Electronics
关键词
抗干扰
反辐射导弹
识别
神经网络
Antagonising ARM, Target recognition, Neural network, Radar ECCM.
