Research on Dual-Channel Nonlinear Acoustic Echo Cancellation in α-Stable Distributed Noise Environment.

Compared with a single-channel echo cancellation, the spatial information of dual-channel echo cancellation enables the listener to obtain more potential information. This paper presents a dual-channel nonlinear acoustic echo cancellation method in α-stable distributed noise environment using a collaborative adaptive filter. Based on the minimum deviation criterion, the normalized minimum lp norm of error is used to update the weights of linear and nonlinear filters extended by nonlinear functions. The output signals are cooperatively combined to eliminate the linear and nonlinear echo. The weight error vector norm and echo return loss enhancement are both used to evaluate the effect of echo cancellation. Simulation results show that the presented echo cancellation method has a better performance than other dual-channel echo cancellation methods in the presence of α-stable distributed noise and nonlinear echo environment. [ABSTRACT FROM AUTHOR]