Capabilities of smart antenna in tracking the desired signal in wireless communication system through non-blind adaptive algorithms
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Date
2015-02
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Publisher
nternational Journal of Advanced Research in Computer and Communication Engineering
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.
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Article
Keywords
Non-blind adaptive algorithms, LMS, RLS, SMI, Desired user, Desired signal, Beamforming