Performance Of MIR-LMS Algorithm For Adaptive Beam Forming In Smart Antenna

In this paper a Matrix Inverse Robust Least Mean Square (MIR-LMS) algorithm is propose where we uses the sample Matrix Inversion (SMI) algorithm and ratio parameters to control the contribution of normalized product vectors in the weight upgradation process. The idea behind this proposed algorithm is that we not only consider the present error vector but also the previous one with normalized received signal whose initial weight is upgraded by the SMI algorithm for the weight upgradation process. When the proposed algorithm compares with standard one than we see the performance enhancement is there in MIR-LMS algorithm we find that the signal response is improved, the convergence rate is faster with less Brownian motion and it suppress the interference angle of arrival (AOA) and direct the beam towards the desired user angle of arrival (AOA).