Adaptive Filtering Algorithms for Communications Signal Processing

摘要

The effect of eigenvalue spread in the signal is studied. The performances of Least Mean Squares (LMS), Recursive Least Squares (RLS) and Fast Transversal Filter (FTF) algorithms via numerical simulation for channel equalization problem and identification of unknown tap-weights of transversal structure are compared. This exposition, with a touch of tutorial and extensive numerical results would provide valuable insight into the problem of adaptive filtering and application of competitive algorithms to satellite and other communications signal processing problems.