A Novel Adaptive Channel Equalization Method Using Low-Complexity Variable Step-Size Partial Rank Algorithm

摘要

In this paper, we propose new low-complexity variable step-size version of the variable step-size partial rank algorithm for adaptive channel equalization. Computational complexity of presented algorithm is reduced through selective partial update of the filter coefficient vector. Simulation results demonstrate the usefulness of the proposed algorithms in attenuating noise and intersymbol interference (ISI) with low-complexity and fast convergence rate.