VARIABLE STEP SIZE ALGORITHMS FOR NETWORK ECHO CANCELLATION

Convergence rate of an algorithm is an important factor that determines the deployment of such algorithm in a real time application. In this paper, we propose improved versions of normalized least mean square (NLMS) algorithm: single and multiple-variable step size normalized least mean square (VSSNLMS) algorithms for echo cancellation. The presented algorithms exhibit faster convergence rate in comparison to NLMS algorithm. Simulation results employing standard figure of merits show how the algorithms perform better than NLMS algorithm based echo canceller. The good performance exhibit by these algorithms in terms of convergence rate as indicated by Means Squared Error (MSE) and Echo Return Loss Enhancement (ERLE) will lend them to deployment in the real-time network echo cancellation applications