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%.
出处
《电路与系统学报》
CSCD
北大核心
2006年第2期54-57,共4页
Journal of Circuits and Systems
关键词
MPSK
调制识别
调制分类
最大似然比
MPSK
identification
classification
maximum likelihood criterion
