A convergence study of adaptive beamforming algorithms used in smart antenna systems

Abstract

This paper studies the convergence bahavior of adaptive beamforming algorithms used in smart antenna systems for wireless communications. Two algorithms are being investigated: Least Mean Square (LMS) and Recursive Least Square (RLS). The convergence of the algorithms is studied by investigating the effect of changing a number of parameters including number of interference signals, number of antenna elements, number of iterations, LMS step size, and RLS weighting factor.