Discrete Wavelet Neural Network Group System for Digital Modulation Recognition

摘要：

In this paper, neural network group is proposed to improve the performance of discrete wavelet neural network group (DYVNNG) 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.

关键词： discrete wavelet neural network group modulation recognition digital signal

作者: Zhang Chaozhu Yang Lianbai Wang Xin

作者单位: Information and Communication Engineering College Harbin Engineering University Harbin, China Center of Network Management HeiLongjiang Co.,Ltd. CMCC Harbin, China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 603-606

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）