Secondary path modeling for narrowband active noise control systems

被引：45
|
作者：
Chang, Cheng-Yuan [1 ]
Kuo, Sen M. [1 ]
Huang, Chiung-Wei [1 ,2 ]
机构：
[1] Chung Yuan Christian Univ, Dept Elect Engn, Taoyuan, Taiwan
[2] Chien Hsin Univ Sci & Technol, Dept Digital Multimedia Design, Taoyuan, Taiwan
来源：
APPLIED ACOUSTICS | 2018年 / 131卷
关键词：
Adaptive system; Convergence; Filterbank; Identification accuracy; Narrowband active noise control; Secondary path modeling; CONVERGENCE ANALYSIS; ALGORITHM; CANCELLATION; IDENTIFICATION; ATTENUATION;
D O I：
10.1016/j.apacoust.2017.10.026
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This work examines the performance of both offline and online secondary path modeling algorithms that are used in narrowband active noise control (NANC) systems. Theoretical analysis reveals that disturbances that are sensed by error sensors reduce the convergence rate and accuracy of adaptive system identification. In a parallel structure narrowband active noise control system, a filterbank is applied to partition the full-band excitation and error signals to utilize an independent and lower-order secondary-path modeling filter for every channel. This method increases convergence speed and modeling accuracy. The results of an analysis and improved performance are confirmed by simulations in which measured transfer functions are used.
引用
收藏
页码：154 / 164
页数：11
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