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作 者:DONG Qiyang MA Tianming JIANG Xiaoxiao MA Honglei 董琪阳;MA Tianming;JIANG Xiaoxiao;MA Honglei(School of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620,P.R.China)
出 处:《High Technology Letters》2024年第3期290-296,共7页高技术通讯(英文版)
基 金:the National Natural Science Foundation of China(No.61601296,61701295);the Science and Technology Innovation Action Plan Project of Shanghai Science and Technology Commission(No.20511103500);the Talent Program of Shanghai University of Engineering Science(No.2018RC43).
摘 要:Filter bank multicarrier quadrature amplitude modulation(FBMC-QAM)will encounter inter-ference and noise during the process of channel transmission.In order to suppress the interference in the communication system,channel equalization is carried out at the receiver.Given that the con-ventional least mean square(LMS)equilibrium algorithm usually suffer from drawbacks such as the inability to converge quickly in large step sizes and poor stability in small step sizes when searching for optimal weights,in this paper,a design scheme for adaptive equalization with dynamic step size LMS optimization is proposed,which can further improve the convergence and error stability of the algorithm by calling the Sigmoid function and introducing three new parameters to control the range of step size values,adjust the steepness of step size,and reduce steady-state errors in small step sta-ges.Theoretical analysis and simulation results demonstrate that compared with the conventional LMS algorithm and the neural network-based residual deep neural network(Res-DNN)algorithm,the adopted dynamic step size LMS optimization scheme can not only obtain faster convergence speed,but also get smaller error values in the signal recovery process,thereby achieving better bit error rate(BER)performance.
关 键 词:filter bank multicarrier quadrature amplitude modulation(FBMC-QAM) adap-tive equalization least mean square(LMS) dynamic step size
分 类 号:TN975[电子电信—信号与信息处理]
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