Estimation of an asymptotically stationary AR channel using fBm based LMS algorithm

摘要

This paper evaluates the performance of the fBm based variable step-size LMS algorithm on the estimation of asymptotically stationary AR channels. We evaluate the steady-state mean-square weight error (MSWE) and compute the optimum step-size parameter. Simulation results are also presented to validate the theory.