Title :
ANC system with random noise injection control for online feedback path modeling
Author :
Seo, J.B. ; Jung, T.H. ; Kim, Ji H. ; Nam, S.W.
Author_Institution :
Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
Abstract :
In active noise control (ANC) systems, an acoustic feedback signal may degrade the ANC performance and/or cause system instability. To solve such a problem, various online feedback path modeling (OFPM) methods using additive random noise have been reported. However, the additive random noise signal may contribute to the residual output noise. In this paper, a new random noise injection control is proposed for ANC systems with OFPM. For that purpose, the additive random noise being generated is scheduled to be stopped when the output error power of an OFPM filter is lower than the estimated steady-state mean square error (MSE) of the filter. Furthermore, a variable step-size normalized mean square (VSS-NLMS) algorithm is employed to achieve faster convergence of the OFPM filter. Finally, simulation results are provided to demonstrate the effectiveness of the proposed approach.
Keywords :
acoustic signal processing; active noise control; convergence; feedback; filtering theory; mean square error methods; random noise; ANC performance; ANC system; MSE; OFPM filter; OFPM method; VSS-NLMS algorithm; acoustic feedback signal; active noise control; additive random noise signal; convergence; online feedback path modeling; output error power; random noise injection control; residual output noise; steady-state mean square error; system instability; variable step-size normalized mean square algorithm; Acoustics; Adaptation models; Adaptive filters; Additives; Convergence; Filtering algorithms; Noise;
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
Conference_Location :
Paris
Print_ISBN :
978-1-4799-0618-5
DOI :
10.1109/NEWCAS.2013.6573636
