Maximum-likelihood classification for digital amplitude-phase modulations 论文

详细信息

发表期刊/会议

IEEE Transactions on Communications

发表日期

2000-01-01

发表年份

2000

摘要

We apply the maximum-likelihood (ML) method to the classification of digital quadrature modulations. We show that under an ideal situation, 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.