Maximum-likelihood classification for digital amplitude-phase modulations

被引：409

作者：

Wei, W ^{[1
]}

Mendel, JM ^{[1
]}

机构：

[1] Univ So Calif, Inst Signal & Image Proc, Dept Elect Syst Engn, Los Angeles, CA 90089 USA

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2000年 / 48卷 / 02期

关键词：

maximum-likelihood detection; pattern classification; quadrature amplitude modulation;

D O I：

10.1109/26.823550

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we apply the maximum-likelihood (ML) method to the classification of digital quadrature modulations. We show that under an ideal situation as stated later, the I-Q domain data are sufficient statistics for modulation classification and obtain a generic formula for the error probability of a ML classifier, Our study of asymptotic performance shows that the ML classifier is capable of classifying any finite set of distinctive constellations with zero error rate when the number of available data symbols goes to infinity.

引用

页码：189 / 193

页数：5