Modulation classifier of digitally modulated signals based on method of artificial neural networks

被引：0
|
作者：
Richterova, M [1 ]
Mazalek, A [1 ]
Pelikan, K [1 ]
机构：
[1] Univ Def Brno, Dept Special Commun Syst, Brno, Czech Republic
来源：
Proceedings of the 4th WSEAS International Conference on Applications of Electrical Engineering | 2005年
关键词：
automatic modulation recognition; modulation recognizer; artificial neural networks; Matlab;
D O I：
暂无
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 is described a new original configuration of subsystems for the automatic modulation recognition of digital signals. The signal recognizer being developed consists of five subsystems: (1) adaptive antenna arrays, (2) pre-processing of signals, (3) key features extraction, (4) modulation recognizer and (5) output stage. The choice of maximum value of spectral power density of the normalized-centred amplitude, standard deviation of the absolute value of the centred non-linear component of the instantaneous phase, standard deviation of the absolute value of the normalized-centred instantaneous amplitude, standard deviation of the absolute value of the normalized-centred instantaneous frequency, as key features for the digital modulation recognizer based on the artificial neural networks (ANNs). The new original structure of the recognizer of digital signals is described. The modulation recognizer using the ANNs with two hidden layers. The results are summarized for real signals.
引用
收藏
页码：297 / 299
页数：3
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