Acoustic Echo Cancellation Using Sub-Adaptive Filter

In this paper, we propose an improvement of acoustic echo cancellation (AEC) using sub adaptive filter (sub-ADF). In the acoustic echo cancellation, the step-size parameter of the adaptive filter in AEC must be changed according to the situations where a double talk and an echo path change occur. AEC using the sub-ADF can control the step-size parameter according to the situations. However, this AEC cannot control the step-size parameter appropriately if the double talk and the echo path change simultaneously occur. We therefore propose a novel AEC using the sub-ADF where a double talk detector is introduced. The proposed AEC can realize superior convergence property to the conventional one even when the double talk and the echo path change simultaneously occur. Simulation results demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional one.