Feedforward adaptive noise control with multivariable gradient lattice filters

被引：14
|
作者：
Chen, SJ [1 ]
Gibson, JS
机构：
[1] Natl Cent Univ, Dept Engn Mech, Chungli, Taiwan
[2] Univ Calif Los Angeles, Dept Mech & Aerosp Engn, Los Angeles, CA 90095 USA
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2001年 / 49卷 / 03期
关键词：
ANC; FIR; globbal control; lattice filters; RLS;
D O I：
10.1109/78.905868
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 work presents a novel feedforward adaptive noise control (ANC) algorithm based on multivariable gradient lattice filters to control acoustic noise or vibration globally. In addition, a gradient-based lattice for AR and FIR models and its transpose lattice for the multivariable ANC algorithm are derived. The filter has different forward and backward reflection coefficient matrices to provide a faster convergence than the gradient lattice algorithm when using the same reflection coefficient matrices. Experimental results demonstrate the effectiveness of the proposed algorithm in controlling broadband acoustic noise in an enclosure.
引用
收藏
页码：511 / 520
页数：10
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