A Variable Step Size Based Improved Multiband-Structured Adaptive Filter Algortihm

Abstract

Subband adaptive filter algorithms are able to improve the convergence behavior by performing the prewhitening procedure on the input signals. In this paper, we propose a new variable step size improved multiband-structured subband adaptive filter algorithm which dynamically selects subband filters (VSS-IMASF) in order to improve the steady-state performance. The step size is controlled by the estimated mean square deviation (MSD) in order to achieve better steady state performance. Simulation results show that the proposed algorithm has lower steady state MSD and more robustness compared with the existing subband algorithms.