首页 | 本学科首页   官方微博 | 高级检索  
     

基于BP神经网络和贝叶斯推理的雷达辐射源识别
引用本文:朱晓亮,蔡群,周明亮.基于BP神经网络和贝叶斯推理的雷达辐射源识别[J].舰船电子对抗,2012,35(4):15-18.
作者姓名:朱晓亮  蔡群  周明亮
作者单位:电子工程学院,合肥,230037
摘    要:分析了雷达辐射源识别的发展现状和存在的问题,提出了一种基于反向传播(BP)神经网络和贝叶斯推理的雷达辐射源目标识别方法,阐述了BP神经网络和贝叶斯推理的原理,构建了相关的识别模型,通过仿真实验检验了模型的准确性,并提出了其发展前景。

关 键 词:雷达辐射源  神经网络  贝叶斯推理

Radar Radiation Source Identification Based on BP Neural Net and Bayes Reasoning
ZHU Xiao-liang,CAI Qun,ZHOU Ming-liang.Radar Radiation Source Identification Based on BP Neural Net and Bayes Reasoning[J].Shipboard Electronic Countermeasure,2012,35(4):15-18.
Authors:ZHU Xiao-liang  CAI Qun  ZHOU Ming-liang
Affiliation:(Electronic Engineering Institute,Hefei 230037,China)
Abstract:This paper analyzes the development status and existent problems of radar radiation source identification,puts forward a target identification method of radar radiation source based on back propagation(BP) neural net and Bayes reasoning,expatiates the principle of BP neural net and Bayes reasoning,constructs the correlative identification model,verifies the veracity of the model through the simulation experiment,and brings forward the development foreground.
Keywords:radar radiation source  neural net  Bayes reasoning
本文献已被 CNKI 维普 万方数据 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