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基于对角递归神经网络盲均衡算法的研究
引用本文:贾枫美,程海青,张立毅.基于对角递归神经网络盲均衡算法的研究[J].太原理工大学学报,2006(Z1).
作者姓名:贾枫美  程海青  张立毅
作者单位:太原理工大学信息工程学院 山西太原030024
基金项目:山西省自然科学基金项目(20051038)
摘    要:提出了一种基于对角递归神经网络的盲均衡算法。利用对角递归神经网络结构简单、计算量少的优点,结合传统的恒模盲均衡算法定义了代价函数,用最速梯度下降法推导出了其算法迭代公式。计算机仿真表明,该算法收敛速度较快,误码率较小。

关 键 词:盲均衡算法  对角递归神经网络  代价函数

Research of Blind Equalization Algorithm Based on Diagonal Recurrent Neural Networks
JIA Feng-mei,CHENG Hai-qing,ZHANG Li-yi.Research of Blind Equalization Algorithm Based on Diagonal Recurrent Neural Networks[J].Journal of Taiyuan University of Technology,2006(Z1).
Authors:JIA Feng-mei  CHENG Hai-qing  ZHANG Li-yi
Abstract:A new blind equalization algorithm based on diagonal recurrent neural networks(DRNN) is proposed.The algorithm has the advantages of simple structure and less computational requirement.Combined with the conventional constant modulus algorithm(CMA),a new cost function is proposed,then the steepest descent method is used in DRNN training.Simulation results show that this algorithm could converge quickly and had less bit error ratio.
Keywords:blind equalization algorithm  diagonal recurrent neural networks  cost function
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