常用数字调制信号识别的一种新方法  

A Novel Identification Method for Commonly Used Digital Modulations

作　　者：吴月娴[1] 葛临东[1] 许志勇[2] 

机构地区：[1]信息工程大学信息工程学院,河南郑州450002 [2]西南电子电信技术研究所,四川成都610041

出　　处：《电子学报》2007年第4期782-785,共4页Acta Electronica Sinica

摘　　要：通过分析数字调制信号及其非线性变换的功率谱,提出了两个新的调制特征参数,改进了两个相关特征的描述,设计了一种采用神经网络集成结构分类器的识别方案,实现了AWGN信道下常用数字调制信号的自动识别.仿真表明,谱形状特征参数具有很好的抗噪声能力,离散谱线特征参数对信号调制参数更加稳健性,神经网络集成分类器的识别性能显著优于单个网络分类器,SNR>5dB时该识别方法的总体识别率在94%以上.With the spectra of digital modulated signal and its non-linear transform being analyzed,two new modulation feature parameters are proposed and descriptions of another two features are modified. Then a novel identification scheme is obtained, capable of blind identification of many commonly used digital modulations in AWGN, using a neural-network-ensemble-classifier. The proposed spectrum-shape parameter is anti-noise, while the new spectrum-line one is robnst against modulation parameters, and the performance of neural network ensemble is much better than that of a single network classifier. Simulation results show that the recognition rate can reach 94 % when SNR is above 5dB.

关 键 词：调制识别 谱特征 融合 神经网络集成 

分 类 号：TN911[电子电信—通信与信息系统]