基于支持向量机的通信信号调制识别方法研究

Pattern recognition based on support vector machine

支持向量机(Support Vector Machines简称SVMs)是基于统计学习理论的一种新的模式识别技术,它不仅结构简单,而且技术性能尤其是泛化能力明显提高。介绍了支持向量机为理论基础的通信信号调制识别方法。计算机仿真结果证实此方法的可行性。

Support vector machines(SVMs) is a new pattern recongnition technology, which is based on the statistical learning theory. SVMs has not only simpler structure, but also better performances, especially better generalization ability. The method of modulation identification for communication signals based on SVMs is introduced. The classification and identification of communication signals modulation mode can be performed well with the method.