Smart Antenna systems have become a practical reality after the advent of powerful, low cost and digital signal processing components. It is recognized as promising technologies for high user capacity in 3G wireless networks by effectively reducing multipath and co-channel interference. The core of smart antenna is the selection of smart algorithms in adaptive array. These algorithms use different criterion to adapt the system for better performance and steer the beam towards signal of Interest. An algorithm with less complexity, low computation costs, good convergence rates usually preferred. Smart essentially means computer control of the antenna performance. Smart antenna holds the promise for improved radar systems, improved system capacities with mobile wireless and wireless communications through the implementation of space division multiple access (SDMA). This research paper investigates the performance of adaptive beamforming algorithms such as LMS(Least Mean Square), SMI(Sample Matrix Inversion) and RLS(Recursive Least Square) are to be implemented in Matlab.
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