基于最大似然比准则的MPSK信号分类方法  

A classification method for MPSK signals based on the maximum likelihood criterion

作　　者：赵知劲[1] 郎涛[2] 

机构地区：[1]西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安710071 [2]杭州电子科技大学通信学院,浙江杭州310018

出　　处：《电路与系统学报》2006年第2期54-57,共4页Journal of Circuits and Systems

摘　　要：本文提出了AWGN环境下一种基于最大似然比的MPSK信号识别方法,推导出了用于区分MPSK信号的特征参数通用表达式,提出了载频估计误差、信号功率对该参数影响的修正方法,本方法对实际BPSK,QPSK,8PSK,16PSK信号的正确识别率达到80%以上。In this paper, a general expression of characteristic parameter for the classification of MPSK signals based on maximum likelihood criterion is presented. To decrease the influence of the signal power and the error in estimating carrier frequency, an improved method is presented. In the experiment, BPSK, QPSK, 8PSK and 16PSK signals used to test are actual signals and the success rate for these signals is above 80%.

关 键 词：MPSK 调制识别 调制分类 最大似然比 

分 类 号：TN971[电子电信—信号与信息处理]