A Kalman filter for stereophonic acoustic echo cancellation

The stereophonic acoustic echo cancellation (SAEC) scheme was recently recast by using the widely linear (WL) model, i.e., as a single-input/single-output system with complex random variables. In this paper, we present a Kalman filter with individual control factors in the context of the WL model for SAEC. As a specific feature, this algorithm uses a different level of uncertainty for each coefficient of the filter. Simulation results indicate that the proposed algorithm outperforms the recursive least-squares (RLS) algorithm, which is usually considered as the benchmark for SAEC.