A Variable Step Size Adaptive Filtering Algorithm with Feedback Mechanism

被引：14
|
作者：
Huang Youran [1 ]
Zhou Yunyao [1 ]
机构：
[1] Wuhan Univ Technol, Sch Informat & Engn, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan, Hubei, Peoples R China
来源：
ICECC 2019: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL ENGINEERING | 2019年
关键词：
Adaptive filtering; variable-step; Sigmoid function;
D O I：
10.1145/3324033.3324034
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming at the problem that the traditional fixed-step LMS (Least Mean Square) algorithm can not satisfy both faster convergence speed and smaller steady-state error, an improved variable-step LMS algorithm is proposed in this paper. In this paper, an improved variable step size LMS algorithm based on Sigimoid function is proposed.In this paper, the error signal of the previous time is introduced as a reference to control the shape and scope of the step factor curve. Compared with the error value of the current time, the feedback mechanism can make the system more stable. The simulation results show that, compared with other adaptive filtering algorithms proposed in recent years, the algorithm achieves steady state after 200 iterations on average, converges faster and runs faster by 7.2%. When the system mutates, it can quickly restore steady state again.
引用
收藏
页码：3 / 6
页数：4
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