The “Smart” part of smart antenna system is the weight adjustment factor. The adaptive algorithms are used in smart antenna in order to adjust the weight of antenna arrays in a way that a main lobe is formed in the direction of desired user and nulls are formed in the direction of undesired user. In this piece of work we have done a comparative analysis of Least Mean Square (LMS) and Decision Feedback Equalizer based Least Mean Square (DFE-LMS) adaptive algorithms on the basis of Signal to Noise Ratio (SNR) and Bit Error Rate (BER). The simulation results observe the graph between SNR and BER on varying the number of iterations as well as modulation index. Implementation is done with the help of Matlab. The result shows that DFE-LMS algorithm has better performance than LMS.
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