基于广义二阶循环统计量的通信信号调制识别研究  

Research on communication signal modulation recognition based on the generalized second-order cyclic statistics

作　　者：赵春晖[1] 杨伟超[1] 马爽[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《通信学报》2011年第1期144-150,共7页Journal on Communications

摘　　要：针对传统的二阶循环统计量在Alpha稳定分布噪声中显著退化的问题,提出了广义二阶循环统计量的概念。在研究了所选通信信号的广义二阶循环统计量的基础上,提取信号广义二阶循环谱中特定频率和循环频率处的幅值作为特征参量,采用最小误差准则作为分类器算法,实现信号调制方式识别。仿真结果表明,在Alpha稳定分布噪声背景下该方法性能优于传统二阶循环统计量的方法,且在高斯噪声背景下也具有良好的性能。To solve the problem that traditional second-order cyclic statistics significantly degenerate in the Alpha stable distribution noise,the concept of generalized second-order cyclic statistics was proposed.On the basis of studying the generalized second-order cyclic statistics of the selected communication signals,the amplitudes of siganals＇ generalized second-order cyclic spectrum in specific frequencies and cyclic frequencies were extracted as the feature parameters,and the minimum error criterion was used as a classification algorithm to achieve modulation recognition.Simulation results show that the performance of this method is superior to the method based on traditional second-order cycle statistics in the Alpha stable distribution noise,moreover,this method has good performance in the Gaussian noise.

关 键 词：信号识别 广义二阶循环谱 特征参数 ALPHA稳定分布 高斯噪声 

分 类 号：TN911.72[电子电信—通信与信息系统]