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《Acta Armamentarii》 2010-09
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Multi-wavelet Fuzzy Neural Network Blind Equalization Algorithm in Underwater Acoustic Channel

LIU Zhen-xing1,GUO Ye-cai1,2,GAO Min1,ZHAO Xue-qing1(1.School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,Anhui,China;2.College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China)  
In order to overcome the contradiction between the convergence rate and accuracy for using fixed step in traditional constant modulus algorithm(CMA),a fuzzy neural network blind equalization algorithm based on balance orthogonal multi-wavelet transform(MWT-FNN-BEA)was proposed.In this algorithm,the contradiction between the convergence rate and accuracy was solved by using fuzzy neural network controller to adjust the step of algorithm automatically.Furthermore,by utilizing the balance orthogonal multi-wavelet transform to the input signals of equalizer,the performance of algorithm was further improved.Theoretical analysis and simulation results demonstrate that the proposed algorithm has higher convergence rate,small steady error and good noise immunity.
【Fund】: 全国优秀博士学位论文作者专项资金资助项目(200753);; 江苏省高等学校自然科学基金资助项目(08KJB510010);; 江苏省“六大人才高峰”培养对象资助项目(2008026);; 江苏省自然科学基金资助项目(BK2009410);; 安徽省高等学校自然科学基金资助项目(KJ2010A096)
【CateGory Index】: TN911.5
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