Modulation recognition using artificial neural networks

被引：137
|
作者：
Nandi, AK
Azzouz, EE
机构：
来源：
SIGNAL PROCESSING | 1997年 / 56卷 / 02期
关键词：
artificial neural networks; analogue modulation recognition; digital modulation recognition; signal classification;
D O I：
10.1016/S0165-1684(96)00165-X
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：
This paper presents artificial neural networks (ANNs) for the recognition of either analogue or digital modulation types. Computer simulations of different types of band-limited, modulated signals corrupted by band-limited Gaussian noise sequence have been carried out to measure the performance of the ANN approach. The threshold SNR for the recognition of either analogue or digitally modulated signals with average success rate greater than or equal to 98% is found to be about 10 dB. Comparisons of results from the ANN approaches and the decision-tree methods are presented. (C) 1997 Elsevier Science B.V.
引用
收藏
页码：165 / 175
页数：11
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