Widely linear general Kalman filter for stereophonic acoustic echo cancellation

The stereophonic acoustic echo cancellation (SAEC) problem is usually modelled as a twoinput/two-output system with real random variables. Recently, the SAEC scheme was recast as a single-input/single-output system with complex random variables, thanks to the widely linear (WL) model. In this paper, we motivate the use of a more general form of the Kalman filter with the WL model for SAEC. Simulation results indicate that this algorithm outperforms the recursive least-squares (RLS) algorithm, which is usually considered as the benchmark for SAEC. & 2013 Elsevier B.V. All rights reserved.