Acoustic Echo Cancellation using Sub-Adaptive Filter

In this paper, we propose an acoustic echo cancellation (AEC) using a sub-adaptive filter. In the AEC, the step-size parameter of the adaptive filter must be varied according to the situations where a double talk and an echo path change occur. The proposed AEC can appropriately control the step-size parameter even if the double talk and the echo path change simultaneously occur because the optimal step-size parameter can be obtained according to the output of the sub-adaptive filter and the echo path change detector is controlled through the double talk detector. Hence, the proposed AEC can realize superior convergence property to the conventional one. Simulation results demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional one.