Abstract
Abstract A smart antenna is a digital wireless communications antenna system that comprises of number of antenna elements or antenna arrays of having similar orientation and using adaptive beamforming algorithms to optimize the radiation pattern. It nullifies the pattern of the targets that are undesired and adding constructively the phases of the signals in the direction of the target. Smart antenna includes signal processing techniques that serves the demand-based frequency and flexible radiation patterns. The aim of this paper is to compare the performance of Least Mean Square (LMS) and Normalized Least Mean Square (NLMS) Adaptive algorithms. Beamforming by varying parameters are presented here. Comparative results show that NLMS performs better than LMS algorithm.
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