A MPSK modulation classification method based on the maximum likelihood criterion

被引：0

作者：

Zhao, ZJ ^{[1
]}

Lang, T ^{[1
]}

机构：

[1] Hangzhou Inst Elect Engn, Hangzhou 310018, Peoples R China

来源：

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 | 2004年

关键词：

classification; identification; maximum likelihood criterion; MPSK;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a general expression of feature parameter for the classification of MPSK signals based on maximum likelihood criterion is presented. For the real signals, three modified measures are given to improve the identification performance. The success rates for real signals BPSK, QPSK, 8PSK and 16PSK are higher than 80%.

引用

页码：1805 / 1808

页数：4