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基于正交小波变换分数间隔的神经网络盲均衡算法
引用本文:高敏,郭业才,刘振兴,赵雪清.基于正交小波变换分数间隔的神经网络盲均衡算法[J].数据采集与处理,2011,26(2):128-134.
作者姓名:高敏  郭业才  刘振兴  赵雪清
作者单位:1. 安徽理工大学电气与信息工程学院,淮南,232001
2. 安徽理工大学电气与信息工程学院,淮南,232001;南京信息工程大学电子与信息工程学院,南京,210044
基金项目:全国优秀博士学位论文作者专项资金,江苏省高等学校自然科学基金,江苏省"六大人才高峰"培养资助项目
摘    要:针对分数间隔盲均衡算法(T/4-FSE-CMA)收敛速度慢、稳态误差大的缺点,提出了一种基于正交小波变换分数间隔的神经网络盲均衡算法(T/4-FSE-WT-FNN).该算法采用四路子信道模型,以神经网络作为均衡器,同时,对均衡器的输入信号做正交小波变换并进行归一化,与基于正交小波变换的前馈神经网络盲均衡算法(WT-FN...

关 键 词:正交小波变换  神经网络  分数间隔  盲均衡  水声信道

Blind Neural Network Equalization Algorithm Based on Orthogonal Wavelet Transform Fractionally Spaced Equalizer
Gao Min,Guo Yecai,Liu Zhenxing,Zhao Xueqing.Blind Neural Network Equalization Algorithm Based on Orthogonal Wavelet Transform Fractionally Spaced Equalizer[J].Journal of Data Acquisition & Processing,2011,26(2):128-134.
Authors:Gao Min  Guo Yecai  Liu Zhenxing  Zhao Xueqing
Affiliation:Gao Min1,Guo Yecai1,2,Liu Zhenxing1,Zhao Xueqing1(1.Department of Electrical Engineering and Information,Anhui University of Science and Technology,Huainan,232001,China,2.College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing,210044,China)
Abstract:A new blind equalization algorithm of neural network based on orthognal wavelet transform fractionally spaced equalizer(T/4-FSE-WT-FNN) is proposed to reduce the steady-state error and improve the convergence rate.Four sub-channels are used in the algorithm and neural network is adopted as the equalizer in each channel.Simultaneously,the equalizer input signal is carried out by the orthogonal wavelet transform and normalized.Compared with WT-FNN,T/4-FSE-CMA and T/4-FSE-WT-CMA algorithms,the proposed algorit...
Keywords:orthogonal wavelet transform  neural network  fractionally spaced equalizer  blind equalization  underwater acoustic channels  
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