An Improved LMS Adaptive Filtering Algorithm
ZHEN Guoyong
WANG Sen
CHENG Qianqian
Abstract：In the signal acquisition and processing,in order to eliminate the noise in the signal more effectively,the restora-tion degree of the original signal is higher.An improved LMS variable step size algorithm is proposed,which is based on the LNs al-gorithm based on the tanh function,and an adjustment factor is introduced through modeling and derivation.If the system is in the case of large error,the algorithm can maintain a fast convergence speed and ensure the convergence accuracy when the system error is small,so it is not easy to filter.The algorithm is verified by Matlab modeling system simulation.The simulation results show that compared with the original LMS algorithm,MES has an improvement of 0.2dB under the condition of Gaussian white noise with mean value of 0,so the improved algorithm also has a good application prospect.
Keywords：adaptive algorithmLMSHyperbolic tangent functionconvergence rate
Publication Date：2023-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 76-79,118 )