现代电子技术Issue(11)：139-141,144,4.
基于支持向量机的调制模式识别技术研究
Research of modulation mode recognition technology based on SVM
鲁茂昌 1郝建华 1蔡毅1
作者信息
- 1. 装备学院 光电装备系，北京 101416
- 折叠
摘要
Abstract
In order to recognize the modulation modes of eight analog digital mixed signals,SVM based on binary tree ex⁃tension is taken as a classifier. Seven features are extracted as feature parameters from the unrecognized signals instantaneous amplitude,instantaneous frequency and instantaneous phase with SVM classifier based on binary tree extension. The simulation results indicate that the classification introduced in this paper has high recognition rate and stable classification performance. It has good real⁃time performance,more classifying modulation modes and good expansibility.关键词
支持向量机/调制识别/特征参数/二叉树Key words
support vector machine/modulation recognition/characteristic parameter/binary tree分类
信息技术与安全科学引用本文复制引用
鲁茂昌,郝建华,蔡毅..基于支持向量机的调制模式识别技术研究[J].现代电子技术,2013,(11):139-141,144,4.
