Performance analysis of an improved variable tap-length LMS algorithm

Abstract

An improved variable tap-length least mean square(LMS) algorithm is proposed in this paper. As compared with the original fractional tap-length LMS (FT-LMS) algorithm, the proposed algorithm can obtain both a fast convergence rate and a small steady-state error of the tap-length. Algorithm analysis is given which also provides a guideline for choosing the parameter of the proposed algorithm. Simulations are performed under low noise and high noise conditions with time varying impulse responses. All simulation results show the advantages of the proposed algorithm as compared with the FT-LMS algorithm, and confirm the algorithm analysis.