A new adaptive damped convergence factor algorithm with a bias term

In this paper, we first present the performance analysis of the NACF algorithm comparing it with that of the LMS algorithm. These results show that the NACF algorithm requires excessive time for convergence. To accelerate the convergence speed, we propose a new NACF algorithm with a bias term. The constant bias term is examined to determine its optimum value. Furthermore, we propose the adaptive bias term which varies according to the convergence state. Several simulation results are presented to demonstrate the effectiveness of the proposed algorithm