低信噪比下模拟调制方式自动识别  

Automatic Analogue Modulation Classification at Low Signal-to-Noise Ratios

作　　者：李辉[1] 崔琛[1] 余剑[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《电子对抗》2007年第1期21-25,共5页Electronic Warfare

摘　　要：自动调制识别是非协作通信系统接收机设计中的重要研究课题。文章针对模拟调制方式提出了一种基于决策理论的识别流程，在频域中分析了线性平滑的方法。提出了用小波变换的门限消噪法对信号包络进行处理，提高在低信噪比时的识别效果。仿真结果表明，在低信噪比时，该流程有很高的识别正确率。Automatic modulation classification is an important research area for the receiver design in the non-cooperative communication system. An analogue modulation classification flow based on the decision theoretic is proposed in this paper. The method of linear smoothing is analyzed in the frequency domain. The threshold de-noising method based on wavelet transform is put forward to process the envelope of the input data and to advance the classification effect under the condition of low SNR. The simulation result indicates that this flow has a good classification rate in the low SNR environment.

关 键 词：模拟调制 调制方式识别 线性平滑 小波变换 阅值消噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]