An Investigation on Adaptive Algorithms for Echo Cancellation of Acoustic Signals

Abstract

This paper presents a review on Acoustic echo cancellation algorithms that are used to update the coefficients of filter which is used as an adaptive echo canceller. The acoustic echo generated in the echo route, when a microphone gets a speaker signal and sends it to the transmitter. An adaptive filter can minimize the effect of nonlinearity and echo caused due to the nonlinearity of the speaker and other components. The least mean square (LMS) based algorithms, along with those based on metaheuristic and stochastic optimization techniques, are the most widely used adaptive filtering algorithms. Because of their ease of implementation and computation, the gradient based algorithms suffer rare search of global minima solution. To overcome this issue, meta-heuristic and stochastic optimization algorithms are capable of avoiding local minima. To solve the AEC problem, various meta-heuristic approaches were used. The existing algorithms for the echo cancellation of acoustic signals are presented in this paper.