| 基于支撑矢量机的通信信号调制识别方法研究 |
| |
| 引用本文： | 张文红,韩刚,李建东. 基于支撑矢量机的通信信号调制识别方法研究[J]. 通信技术, 2003, 0(2): 12-14 |
| |
| 作者姓名： | 张文红 韩刚 李建东 |
| |
| 作者单位： | 西安电子科技大学综合业务网国家重点实验室、信息科学研究所,西安,710071 |
| |
| 基金项目： | 国家863计划(2001AA123031)，高等学校优秀青年教师教学科研奖励计划资助。 |
| |
| 摘 要： | 提出了一种应用小波变换提取分类特征的基于支撑矢量机的通信信号调制识别方法。使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。在中频进行处理,不需要同步信息;利用支撑矢量机具有更好的推广能力,可以使用较少的训练样本。计算机仿真结果表明该方法可以很好地工作于信噪比变化范围较大的通信环境。
|
| 关 键 词： | 调制识别 支撑矢量机 小波变换 |
| 修稿时间： | 2002-09-08 |
A Method of Modulation Identification for Communication Signals Based on Support Vector Machine |
| |
| Zhang Wenhong Han Gang Li Jiandong. A Method of Modulation Identification for Communication Signals Based on Support Vector Machine[J]. Communications Technology, 2003, 0(2): 12-14 |
| |
| Authors: | Zhang Wenhong Han Gang Li Jiandong |
| |
| Abstract: | A new method of modulation identification for communication signals, using wavelet transform to extract characteristics and based on support vector machines(SVM), is proposed. Several SVM classifiers are used to make a multi-classes classifier for modulation identification. The signals to be identified are processed on frequency band, so the synchronization information is unnecessary; Because of the better generalization performance of SVM, less training samples are needed. The good performance of the proposed identification scheme is proved through computer simulation. |
| |
| Keywords: | modulation identification support vector machine wavelet transform |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
