New iterative kernel algorithms for nonlinear acoustic echo cancellation

Recently, a nonlinear acoustic echo cancellation algorithm based on the framework of kernel methods has been proposed by modeling the echo path as a Hammerstein system. However, it requires a large amount of computation to be implemented. In this paper, we propose to use iterative methods for solving linear systems in order to reduce the numerical complexity of identifying the nonlinear and linear parts of the echo path. Also we investigate the effect on performance of the parameters of the methods for both iterative batch and online versions. Simulation results confirm the complexity reduction and good performance of the proposed methods for clipping nonlinearity and room impulse response variation.