Modified RLS Algorithm for Interference Cancelation in a MIMO System

In this work, we propose modified Recursive Least Square (RLS) algorithm which helps to mitigate interference and to enhance the signal strength for wireless communication. In our proposed algorithm, we modify RLS in a way that it's forgetting factor depends on the prior error and apply it to the beamforming with multiple antennas. This results in minimized error between desired signal and received signal. This reduction of error provides significant improvement in beamforming and interference cancellation. Further, it speeds up the convergence time of the RLS algorithm and improves the efficiency of beamforming. The comparison has been made between the simple and modified RLS and the accuracy of beamforming, null placing and error reduction have been checked. The performance results simulated in Matlab shows that the modified RLS has increased the performance by approximately 400 percent.