A recursive least M-estimate adaptive controller for active impulsive noise control

被引：0
|
作者：
Lu Lu [1 ,2 ]
Zhao Haiquan Zhao [1 ,2 ]
Yu Yi [1 ,2 ]
机构：
[1] Minist Educ, Key Lab Magnet Suspens Technol & Maglev Vehicle, Chengdu, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu, Peoples R China
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Active noise control; Impulsive interference; Recursive algorithm; M-estimate; LOGARITHMIC TRANSFORMATION; ALGORITHM; FILTERS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The filtered-x recursive square (FxRLS) algorithm has been proven to be efficient for active noise control (ANC) systems. Unfortunately, its performance deteriorates when the ANC systems are corrupted by impulsive noises. To reduce this drawback, a novel filter-x recursive least M-estimate adaptive (FxRLM) algorithm for ANC is proposed in this paper, which can overcome the adverse effect of impulsive noise on the adaptation of controller. Simulations in the context of ANC system show that the proposed FxRLM algorithm outperforms the conventional FxRLS, filtered-x least mean p-power (FxLMP) and robust FxLMS (RFxLMS) algorithms.
引用
收藏
页码：3069 / 3073
页数：5
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