A time domain approach of acoustic echo cancellation based on particle swarm optimization

In this paper, an efficient time domain scheme for echo cancellation of speech signals in acoustic environment is proposed. The task of echo cancellation is commonly handled by using the state-of-the-art adaptive filters, which may lack the flexibility of controlling the number of iterations, convergence rate and the range of variation of filter coefficients. In order to tackle these problems, unlike conventional approaches, the process of echo cancellation can be treated as a task of multi-variable coefficient optimization, where we propose to employ the particle swarm optimization (PSO) algorithm. It is shown that the use of PSO offers the advantage of precise coefficient adaptation with a very fast convergence rate. Hence, the proposed PSO based echo cancellation scheme not only provides high degree of accuracy in terms of echo return loss enhancement (ERLE) but also renders the ease of controlling the system parameters as per requirement.