Abstract: Future wireless systems will require higher data rates with better coverage for a wide variety of users operating with a large variety of different systems. To achieve these goals, greater power, interference suppression, and multipath mitigation are needed. Smart antenna gives a promising future for wireless communication systems since it can improve the capacity, extend coverage and provide better quality services by tracking users, switching beams accordingly. In this paper three non-blind adaptive beamforming algorithms, least mean square (LMS), Recursive Least square (RLS) and Sample matrix inversion (SMI) have been studied. Investigation of their performances in tracking a desired user has been made and compared. All the three algorithms direct their beams towards a desired user and place nulls towards interferer. However the rate of their performance differs from each other.

Keywords: Non-blind adaptive algorithms, beamforming, LMS, RLS, SMI, Desired user, desired signal