DocumentCode :
180007
Title :
New feedback active noise control system with improved performance
Author :
Tongwei Wang ; Woon-Seng Gan ; Kuo, S.M.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
6662
Lastpage :
6666
Abstract :
In many practical active noise control (ANC) applications, the undesired primary noise consists of multiple harmonic-related tones, which can be effectively reduced by internal model control (IMC) feedback ANC systems. In this paper, a new feedback ANC system is proposed with improved convergence rate and noise reduction when the frequency separation between two adjacent tones is small. In the proposed system, adaptive notch filter (ANF) is used to estimate the frequencies of the multi-tone noise, based on which the reference signals are internally generated and regrouped to increase the frequency separation in each channel. Compared with the conventional IMC feedback ANC system, the proposed system converges faster, has a better tracking capability when the frequencies of the primary noise vary, and is also less sensitive to impulsive noise. Computer simulations are conducted for both synthesized tonal noise and motorcycle engine noise to show the improved performance of the proposed system.
Keywords :
active noise control; adaptive filters; feedback; notch filters; ANC; ANF; IMC feedback ANC systems; adaptive notch filter; convergence rate; feedback active noise control system; frequency estimation; frequency separation; harmonic-related tones; impulsive noise; internal model control; motorcycle engine noise; noise reduction; synthesized tonal noise; Adaptive filters; Convergence; Frequency control; Frequency estimation; Motorcycles; Noise; Time-frequency analysis; Feedback active noise control system; adaptive notch filter; convergence rate; frequency estimation; frequency separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854889
Filename :
6854889
Link To Document :
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