Discrete wavelet neural network group system for digital modulation recognition

Author

Chaozhu, Zhang ; Lianbai, Yang ; Xin, Wang

Author_Institution

Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin, China

fYear

2011

fDate

27-29 May 2011

Firstpage

603

Lastpage

606

Abstract

In this paper, neural network group is proposed to improve the performance of discrete wavelet neural network group (DWNNG) for automatic digital modulation recognition (ADMR). The neural network group can reduce the complexity of only one neural network. The neural network can be easier to be trained with low errors by using neural network group. The problem of local optimum can be improved. And the system can recognize more modulations. The experiment indicates that it can recognize 2ASK, 4ASK, 8ASK, 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 8PSK, 4QAM and 16QAM. The mean correct recognition rates were obtained 95.7% by using neural network group substitute for single one.

Keywords

digital communication; discrete wavelet transforms; modulation; neural nets; signal classification; telecommunication computing; 16QAM; 2ASK; 2FSK; 2PSK; 4ASK; 4FSK; 4PSK; 4QAM; 8ASK; 8FSK; 8PSK; ADMR; DWNNG; amplitude shift keying; automatic digital modulation recognition; digital modulated signals; discrete wavelet neural network group system; frequency shift keying; mean correct recognition rate; quadrature amplitude modulation; Frequency shift keying; Phase shift keying; Quadrature amplitude modulation; Wavelet analysis; digital signal; discrete wavelet; modulation recognition; neural network group;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6014342

Filename

6014342