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Blind Equalization Using a Novel Recurrent Neural Network Training Algorithm

Blind Equalization Using a Novel Recurrent Neural Network Training Algorithm
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摘要 A novel Recurrent Neural Network(RNN) based blind equalization algorithm is proposed in the paper.For the first time, the conjugate gradient algorithm and a three point searching method are used in RNN training.Simulation results show that our algorithm is suprior to the one proposed by Kechriotis and the Constant Modulus Algorithm. A novel Recurrent Neural Network(RNN) based blind equalization algorithm is proposed in the paper.For the first time, the conjugate gradient algorithm and a three point searching method are used in RNN training.Simulation results show that our algorithm is suprior to the one proposed by Kechriotis and the Constant Modulus Algorithm.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 1997年第2期47-49,共3页 中国邮电高校学报(英文版)
关键词 blind equalization conjugate gradient algorithm three point searching method blind equalization, conjugate gradient algorithm, three point searching method
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