[1]单剑锋,翟 波.基于小波神经网络的无线电引信目标识别新方法[J].南京师范大学学报(工程技术版),2010,10(02):084-87.
　Shan Jianfeng,Zhai Bo.New Radio Fuze Target Recognition Based on Wavelet Neural Network[J].Journal of Nanjing Normal University(Engineering and Technology),2010,10(02):084-87.
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基于小波神经网络的无线电引信目标识别新方法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
10卷
期数:
2010年02期
页码:
084-87
栏目:
出版日期:
2010-02-01

文章信息/Info

Title:
New Radio Fuze Target Recognition Based on Wavelet Neural Network
作者:
单剑锋1;  翟 波2
1. 南京邮电大学电子科学与工程学院, 江苏南京210003; 2. 辽宁石油化工大学计算机通信工程学院, 辽宁抚顺113001
Author(s):
Shan Jianfeng1; Zhai Bo2
1.College of Electronic Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;2.School of Computer and Communication Engineering,Liaoning Shihua University,Fushun 113001,China
关键词:
小波变换;  无线电引信;  特征提取;  神经网络
Keywords:
w ave let transfo rm (WT);  rad io fuze;  feature extrac tion;  neura l ne tw ork
分类号:
TJ430
摘要:
设计了基于小波神经网络的无线电引信目标识别新方法.根据无线电引信回波多普勒信号功率主要集中在低频部分的特点,对淹没在噪声中的无线电引信回波信号进行小波分解,提取在不同频带内信号能量作为特征,用小波神经网络对目标进行检测.针对不同信噪比,对某典型无线电引信回波信号进行定量研究,实验结果表明该方法处理信号信噪比达-7 dB.
Abstract:
New rad io fuze target recogn ition based on w av elet neura l netwo rk is d iscussed in th is paper. The radio fuze signal is first decomposed by wave let transform, and on this basis, the decomposed coeffic icien ts are reconstructed to form a new tim e ser ies, from w hich som e energy param eters can be ex tracted by tim e-dom a in ana lys is. The targe t signal is detected by w ave let neural ne tw ork. The e ffectiv eness o f them ethod is ve rified by a typ ica l radio fuze signals w ith d i-f ferent S igna-l to-No ise Ratio( SNR). The exper im enta l resu lts show tha t SNR processed by them ethod can reach - 7 dB.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 南京邮电大学引进人才科研启动基金( NY207024) . 通讯联系人: 单剑锋, 博士, 副教授, 研究方向: 智能信息处理. E-m ail:shanjf@ n jupt. edu. cn
更新日期/Last Update: 2013-04-02