Bias-Compensated Normalized Least-Mean Fourth Algorithm for Noisy Input

被引：28
|
作者：
Zheng, Zongsheng [1 ]
Liu, Zhigang [1 ]
Zhao, Haiquan [1 ]
机构：
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2017年 / 36卷 / 09期
关键词：
Normalized least-mean fourth (NLMF); Noisy input; System identification; NLMS ALGORITHM; STABILITY; FILTERS;
D O I：
10.1007/s00034-016-0491-4
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a bias-compensated normalized least-mean fourth (NLMF) algorithm to compensate for the bias caused by noisy input. In the proposed algorithm, we add a bias-compensation vector to the conventional NLMF algorithm, and the bias-compensation vector is then derived based on the unbiasedness criterion. Simulation results in system identification context show that the proposed algorithm provides lower steady-state misalignment as compared to the conventional NLMF algorithm.
引用
收藏
页码：3864 / 3873
页数：10
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