电子学报2011，Vol.39Issue(4)：975-980,6.
模糊神经网络控制的混合小波神经网络盲均衡算法
A Hybrid Wavelet Neural Network Blind Equalization Algorithm Based on Fuzzy Controlling
摘要
Abstract
Aiming at the contradiction between the convergence rate and mean square error of traditional Constant Modulus Algorithm (CMA),a hybrid wavelet neural network blind equalization algorithm based on fuzzy neural network controlling (FHWNN) is proposed. In this proposed algofithm,a transversal filter is cascaded to the front end of the wavelet network input layer, outputs of the transversal filter nodes are divided into real and imaginary pans, these two parts signals are merged into one complex signal after passing wavelet network. The proposed algorithm can improve the control precision of step-size via using fuzzy rules of Fuzzy Neural Network (FNN) to control the step-size of scale factor and displacement factor of the WNN. The weight coefficients iterative formulas of the transversal filter and the wavelet neural network are obtained via constant modulus cost function. The theory analysis and simulation result demonstrate that the proposed algorithm has faster convergence rate and smaller steady-state error. Accordingly, it can overcome the contradiction between the convergence rate and mean square error effectively.关键词
盲均衡/水声信道/复数系统/模糊控制/混合小波神经网络Key words
blind equalization/ underwater acoustic channels/ complex system/ fuzzy controlling/ hybrid wavelet neural network分类
信息技术与安全科学引用本文复制引用
郭业才,王丽华..模糊神经网络控制的混合小波神经网络盲均衡算法[J].电子学报,2011,39(4):975-980,6.基金项目
全国优秀博士学位论文作者专项资金(No.200753) （No.200753）
安徽省高等学校自然科学基金(No.KJ2010A096) （No.KJ2010A096）
江苏省自然科学基金(No.BK2009410) （No.BK2009410）
江苏省高等学校自然科学基金(No.08KJB510010) （No.08KJB510010）
江苏省"六大人才高峰"培养对象(No.2008026) （No.2008026）
