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

摘要

Recently a framework has been introduced within which a large number ofclassical and modern adaptive filter algorithms can be viewed as special cases.Variable Step-Size (VSS) normalized least mean square (VSSNLMS) and VSS AffineProjection Algorithms (VSSAPA) are two particular examples of the adaptivealgorithms that can be covered by this generic adaptive filter. In this paper,we introduce a new VSS Partial Rank (VSSPR) adaptive algorithm based on thegeneric VSS adaptive filter and use it for channel equalization. The proposedalgorithm performs very well in attenuating noise and inter-symbol interference(ISI) in comparison with the standard NLMS and the recently introduced APalgorithms.