期刊
APPLIED ACOUSTICS
卷 131, 期 -, 页码 154-164出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apacoust.2017.10.026
关键词
Adaptive system; Convergence; Filterbank; Identification accuracy; Narrowband active noise control; Secondary path modeling
类别
资金
- Ministry of Science and Technology of the Republic of China, Taiwan [MOST 103-2632-E-033-001]
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.
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