Title :
A Channel Shortening Approach for Nonlinear Acoustic Echo Cancellation
Author :
Shi, Kun ; Ma, Xiaoli ; Zhou, G. Tong
Author_Institution :
School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA 30332-0250, USA
Abstract :
Acoustic echo cancellers (AECs) are critical for enhancing audio quality in many telecommunication systems. The problem is challenging because the long room impulse response slows the convergence rate and increases the computational complexity of the AEC designs. Nonlinearity in the power amplifier or the loudspeaker further exacerbates the problem. In this paper, we propose a novel AEC algorithm when the loudspeaker-enclosure-microphone system is described by a Hammerstein model. We show that by introducing a shortening filter, the length of the "effective" acoustic echo path is reduced considerably. An adaptive algorithm is developed for the proposed nonlinear AEC structure; its effectiveness is illustrated by computer simulations.
Keywords :
Adaptive algorithm; Computational complexity; Computer simulation; Convergence; Echo cancellers; Filters; Loudspeakers; Nonlinear acoustics; Power amplifiers; Power system modeling; Acoustic echo cancellation; Channel shortening; Hammerstein system; Nonlinear adaptive filter;
Conference_Titel :
Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
Conference_Location :
Madison, WI, USA
Print_ISBN :
978-1-4244-1198-6
Electronic_ISBN :
978-1-4244-1198-6
DOI :
10.1109/SSP.2007.4301278