舰船电子工程2023，Vol.43Issue(12)：76-79,118,5.DOI:10.3969/j.issn.1672-9730.2023.12.015
一种改进的LMS自适应滤波算法
An Improved LMS Adaptive Filtering Algorithm
甄国涌 1王森 1程茜茜2
作者信息
- 1. 中北大学仪器与电子学院 太原 030051
- 2. 北京局太原四室 太原 030024
- 折叠
摘要
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.关键词
自适应算法/LMS/双曲正切函数/收敛速度Key words
adaptive algorithm/LMS/Hyperbolic tangent function/convergence rate分类
信息技术与安全科学引用本文复制引用
甄国涌,王森,程茜茜..一种改进的LMS自适应滤波算法[J].舰船电子工程,2023,43(12):76-79,118,5.
