PERFORMANCE OF BEAMFORMING FOR SMART ANTENNA USING MODIFIED LMS ALGORITHM

Smart antenna systems attract lot attentions now and believably more in the future, as it can increase the capacity of mobile communication systems dramatically. Adaptive signal processing sensor arrays, known also as smart antennas.The smart antenna adaptive algorithms achieve the best weight vector for beam forming by iterative means. The Least Mean Square (LMS) algorithm, is an adaptive algorithm. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vector which eventually leads to the minimum mean square error, Compared to other algorithms LMS algorithm is relatively simple; it does not require correlation function calculation nor does it require matrix inversions. The traditional LMS algorithm is explained in this paper then performance of Modified LMS algorithm is analyzed. This algorithm can be applied to Smart antenna system to observed beam forming with the software Matlab. Both the algorithms are compare, the result obtain is achieving faster convergence and lower steady state error. The algorithms can be simulated in MATLAB 7.10 version