Nonlinear echo cancellation using a correlation LMS adaptation scheme

Adaptive algorithms have been widely used to reduce or cancel undesired echo signals in acoustic communication systems. In particular, in a double-talk scenario, fluctuations in the estimation of echo path parameters and nonlinear distortion in a hybrid system may result in significant performance degradation. In this paper, the use of nonlinear echo cancellation via a correlation RLS (CRLS) algorithm is proposed to compensate for nonlinear distortion in the echo path and to solve the double-talk problem. Simulation results, showing fast convergence and robustness, are provided to illustrate the validity and performance of the proposed approach. Key-Words: Nonlinear echo cancellation, Correlation RLS, Volterra filter