A technical review on adaptive algorithms for acoustic echo cancellation

Acoustic echo is one of the most important issues in communication. It creates disturbance in day-to-day communication. This echo can be cancelled using adaptive filters which are governed by adaptive algorithms. Right from the introduction of Least Mean Square (LMS) algorithm, over the years, a lot of research has been done in this field in order to develop new algorithms which can effectively drive the filter to give better performance. In this review paper, we have studied and discussed all the previous work done on these algorithms in relation to acoustic echo cancellation. This paper contains the basic review of all such existing algorithms as well as their merits and demerits. It covers the basic algorithms like LMS algorithm, Recursive Least Square algorithm as well as their modified versions like Normalized Least Mean Square algorithm, Fractional Least Mean Square algorithm, Filtered-x Least Mean Square algorithm etc. Finally, a tabular comparison has been given towards the end of the paper in order to conclude the discussion.