Automatic modulation recognition .1.

被引：21
|
作者：
Azzouz, EE [1 ]
Nandi, AK [1 ]
机构：
[1] UNIV STRATHCLYDE, DEPT ELECT & ELECT ENGN, GLASGOW G1 1XW, LANARK, SCOTLAND
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 1997年 / 334B卷 / 02期
关键词：
D O I：
10.1016/S0016-0032(96)00069-5
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a review of the mole recent papers published in the area of modulation recognition is introduced. Three alternative algorithms, representing modifications of earlier works and based on the decision-theoretic approach, are presented. These appear to offer the best performance over a large number of modulation types. For example, the average analogue modulations recognition success rate is approximate to 99% at 10 dB SNR, the average digital modulations recognition success rate is approximate to 99% at the SNR of 10 dB, and the average analogue and digital modulations recognition success rate is approximate to 93% at 15 dB SNR. Copyright (C) 1997 Published by Elsevier Science Ltd.
引用
收藏
页码：241 / 273
页数：33
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