| DONG Qiyang(董琪阳),MA Tianming,JIANG Xiaoxiao,MA Honglei.[J].高技术通讯(英文),2024,30(3):290~296 |
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| A novel dynamic step size LMS optimization scheme for interference reducing in FBMC-QAM |
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| DOI：10. 3772 / j. issn. 1006-6748. 2024. 03. 008 |
| 中文关键词: |
| 英文关键词: filter bank multicarrier quadrature amplitude modulation (FBMC-QAM), adaptive equalization, least mean square (LMS), dynamic step size |
| 基金项目: |
| Author Name | Affiliation | | DONG Qiyang(董琪阳) | (School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China) | | MA Tianming | | | JIANG Xiaoxiao | | | MA Honglei | |
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| 中文摘要: |
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| 英文摘要: |
| 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. |
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