A novel dynamic step size LMS optimization scheme for interference reducing in FBMC-QAM

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外文标题：A novel dynamic step size LMS optimization scheme for interference reducing in FBMC-QAM

外文摘要：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.

外文关键词：

filter bank multicarrier quadrature amplitude modulation(FBMC-QAM)adap-tive equalizationleast mean square(LMS)dynamic step size

作者：

董琪阳、MA Tianming、JIANG Xiaoxiao、MA Honglei

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作者单位：

School of Electrical and Electronic Engineering,Shanghai University of Engineering Science,Shanghai 201620,P.R.China

关键词：

filter bank multicarrier quadrature amplitude modulation(FBMC-QAM) adap-tive equalization least mean square(LMS) dynamic step size

出版年：

2024

DOI：