摘要
信号调制方式的自动识别是控制多模式软件无线电接收机解调单元对信号进行正确解调的基础,因此近年来得到了越来越多的研究者的关注。本文提出了一种基于支持向量机的数字调制识别方法。与传统的神经网络方法相比该方法具有更好的泛化推广能力。计算机仿真表明,当噪声采用高斯白噪声,并且信噪比大于15dB时,正确识别率高于97%。
Automatic modulation recognition （AMR） is the basis of controlling demodulation unit in multi-mode software radio receivers, therefore more and more researcher＇s attention is put on it now. In this paper, a new AMR ＇algorithm based on support vector machines （SVM） is presented. Compared with traditional algorithms based on neural networks, this algorithm has better generalization ability. The performance of the algorithms has been evaluated by simulating different types of band-limited distal signals corrupted by white Gaussian noise, It is found that the overall success rate is over 97% at SNR = 15 dB.
出处
《微计算机信息》
北大核心
2005年第09X期27-28,167,共3页
Control & Automation
关键词
调制识别
模式识别
支持向量机
控制
modulation recognition
pattern recognition
support vector machine
control
