融合时频特征的通信辐射源个体识别方法.docx
融合时频特征的通信辐射源个体识别方法
目录
融合时频特征的通信辐射源个体识别方法(1)..................4
内容概述................................................4
1.1研究背景...............................................4
1.2研究意义...............................................5
1.3文献综述...............................................6
融合时频特征的通信辐射源个体识别方法概述................8
2.1通信辐射源识别技术发展现状.............................8
2.2时频特征提取方法.......................................9
2.3个体识别算法研究......................................11
时频特征提取...........................................12
3.1时频分析基础..........................................13
3.2常用时频分析方法......................................14
3.3时频特征参数选择......................................15
个体识别算法设计.......................................17
4.1特征选择与降维........................................18
4.1.1特征选择方法........................................19
4.1.2降维方法............................................20
4.2识别模型构建..........................................21
4.2.1支持向量机..........................................23
4.2.2人工神经网络........................................24
4.2.3深度学习模型........................................26
4.3识别算法优化..........................................27
实验与仿真.............................................28
5.1实验数据准备..........................................29
5.2实验平台搭建..........................................29
5.3实验结果分析..........................................31
5.3.1识别准确率对比......................................32
5.3.2识别速度对比........................................33
5.3.3抗噪性能分析........................................34
结果讨论...............................................34
6.1方法优势分析..........................................35
6.2存在问题与改进方向....................................36
融合时频特征的通信辐射源个体识别方法(2).................38
内容概要...............................................38
1.1研究背景和意义........................................38
1.2文献综述..............................................39
目标与问题陈述.........................................40
2.1面临的问题......