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Echo Cancellation Algorithms using Adaptive Filters : A Comparative Study

An adaptive filter is a filter that self-adjusts its transfer function according to an optimization algorithm driven by an error signal. Adaptive filter finds its essence in applications such as echo cancellation, noise cancellation, system identification and many others. This paper briefly discusses LMS, NLMS and RLS adaptive filter algorithms for echo cancellation. For the analysis, an acoustic echo canceller is built using LMS, NLMS and RLS algorithms and the echo cancelled samples are studied using Spectrogram. The analysis is further extended with its cross-correlation and ERLE (Echo Return Loss Enhancement) results. Finally, this paper concludes with a better adaptive filter algorithm for Echo cancellation. The implementation and analysis is done using MATLAB®, SIMULINK® and SPECTROGRAM V5.0®.