A Variable Step-Size FXLMS Algorithm for Narrowband Active Noise Control

被引：92
|
作者：
Huang, Boyan [1 ]
Xiao, Yegui [2 ]
Sun, Jinwei [1 ]
Wei, Guo [1 ]
机构：
[1] Harbin Inst Technol, Harbin 150001, Peoples R China
[2] Prefectural Univ Hiroshima, Hiroshima 7270023, Japan
来源：
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING | 2013年 / 21卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Convergence rate; FXLMS; FXRLS; narrowband active noise control (NANC); variable step size; AUXILIARY NOISE; CONTROL SYSTEMS; LMS ALGORITHM;
D O I：
10.1109/TASL.2012.2223673
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, a variable step-size filtered-x LMS (VSS-FXLMS) algorithm is proposed for a typical narrowband active noise control system. The new algorithm converges much faster than the conventional FXLMS algorithm does, and indicates a convergence rate quite similar to that of the filtered-x recursive least square (FXRLS) algorithm in stationary noise environments. It also considerably outperforms these two existing algorithms in nonstationary situations. The proposed algorithm requires some more computations as compared with the FXLMS algorithm; however, its computational complexity is significantly less than that of the FXRLS algorithm. Numerous simulations for stationary and nonstationary scenarios are conducted to demonstrate the superior performance of the proposed VSS-FXLMS algorithm as compared with the FXLMS and the FXRLS algorithms.
引用
收藏
页码：301 / 312
页数：12
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