Abstract: “This paper presents an adaptive filtering solution for multipath Rayleigh fading channel which is based upon adaptive variable step size parameter. The algorithm is derived from normalized least mean square (NLMS) algorithm to make the step size parameter adaptive of NLMS filter which provides good tracking performance and fast convergence with respect to time varying channel. The simulation results show that the fast convergence as well as low probability of error leads to better signal to noise (SNR) ratio when it is compared to conventional NLMS and Bi-LMS algorithms.”

Keywords: Adaptive filter, NLMS algorithm, fast convergence rate.