Research of blind equalization algorithm based on bilinear recurrent neural network

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (27): 142-143.

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Research of blind equalization algorithm based on bilinear recurrent neural network

ZHANG Li-yi^1,2,LIU Ting²,SUN Yun-shan²,LI Qiang¹,TENG Jian-fu^1,2

1.School of Electric Information Engineering,Tianjin University,Tianjin 300072,China
2.College of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-09-21 Published:2007-09-21
Contact: ZHANG Li-yi

基于双线性反馈神经网络盲均衡算法的研究

张立毅^1,2,刘婷²,孙云山²,李锵¹,滕建辅^1,2

1.天津大学电子信息工程学院,天津 300072
2.天津商学院信息工程学院,天津 300134

通讯作者: 张立毅

Abstract

Abstract: Bilinear recurrent neural network was applied in blind equalization algorithm.A new blind equalization algorithm based on Bilinear Recurrent Neural Network（BRNN） was proposed.Iteration formula was reduced.Simulation results show that this algorithm could converge quickly and had the less bit error ratio.

Key words: blind equalization algorithm, Bilinear Recurrent Neural Network（BRNN）, convergence rate, Bit Error Ratio（BER）

摘要： 将双线性反馈神经网络应用于盲均衡算法,提出了一种新的基于双线性反馈神经网络盲均衡算法,推导出算法迭代公式,计算机仿真表明,新算法具有较快的收敛速度和较小的误码率。

关键词: 盲均衡算法, 双线性反馈神经网络, 收敛速度, 误码率

ZHANG Li-yi^1,2,LIU Ting²,SUN Yun-shan²,LI Qiang¹,TENG Jian-fu^1,2. Research of blind equalization algorithm based on bilinear recurrent neural network[J]. Computer Engineering and Applications, 2007, 43(27): 142-143.

张立毅^1,2,刘婷²,孙云山²,李锵¹,滕建辅^1,2. 基于双线性反馈神经网络盲均衡算法的研究[J]. 计算机工程与应用, 2007, 43(27): 142-143.

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Research of blind equalization algorithm based on bilinear recurrent neural network

基于双线性反馈神经网络盲均衡算法的研究

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