A New Approach of Adaptive Filtering Updating for Acoustic Echo Cancellation.

This paper addresses the acoustic echo issue in communication systems which affects the quality of the transmitted speech. This echo occurs due to the acoustic coupling between the loudspeaker and the microphone of the voice terminals. Acoustic echo cancellation (AEC) based on adaptive filtering is generally used to remove this undesirable echo where an adaptive algorithm updates the filter coefficients iteratively until the convergence occurred. In this paper, we propose a new approach of the filter coefficients updating for improving the performance of the adaptive filtering algorithms. The proposed approach is evaluated using the normalized least mean squares (NLMS) algorithm with stationary and non-stationary input signals. The simulation results demonstrate that the proposed approach outperforms the original NLMS algorithm in terms of steady-state error reduction and echo return loss enhancement (ERLE) improvement.