Title :
Parallel multi-frequency narrowband active noise control systems
Author :
Yang, F. ; Gupta, A. ; Kuo, S.M.
Author_Institution :
Vibration & Acoust. Center, Northern Illinois Univ., DeKalb, IL
Abstract :
This paper analyzes and optimizes narrowband active noise control systems using multiple second-order adaptive filters. Theoretical analysis of the overall parallel structure is based on autocorrelation and cross-correlation matrices. Analytical result shows the use of single error signal to update all adaptive filters with different input signals will introduce extra tonal components in the residual noise. An optimized algorithm that uses bandpass filters to split the fullband error signal into multiple bandlimited subband error signals according to the frequencies of reference signals is developed to improve steady-state performance.
Keywords :
active noise control; adaptive filters; band-pass filters; matrix algebra; signal denoising; autocorrelation matrices; bandpass filters; cross-correlation matrices; fullband error signal; multiple bandlimited subband error signals; narrowband active noise control systems; optimized algorithm; parallel multifrequency noise control systems; parallel structure; second-order adaptive filters; Active noise reduction; Adaptive filters; Autocorrelation; Band pass filters; Control systems; Error correction; Frequency; Narrowband; Signal analysis; Steady-state; Active noise control; adaptive notch filters; multi-frequency narrowband; parallel structures;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959568