A Robust Low-Complexity Adaptive Filtering Algorithm with Dichotomous Coordinate Descent Scheme for Acoustic Echo Cancellation

This paper proposes a robust low-complexity adaptive filtering algorithm for identifying impulse responses in acoustic echo cancellation within practical acoustic environments. Under a low-rank model framework of the filter coefficient vector, a Cauchy estimate function is employed to define a set of robust cost functions, from which the adaptive algorithm is established with a dichotomous coordinate descent scheme. The computational efficiency of the proposed algorithm is significantly improved, and its effectiveness is validated through simulations.