Design and Simulation of a Novel Multistage Beamforming Algorithm for Mobile Communication
Adaptive arrays are antenna arrays with smart signal processing techniques, which are used in many wireless communication applications. Many signal processing techniques have been used to steer the array pattern in look direction by adjusting the weights of the signal without user intervention. Weights of signal processor can be automatically adjusted by simple adaptive beamforming techniques. One of the most commonly used beamforming technique is least mean square (LMS) algorithm. LMS algorithm has low computational complexity. However, its convergence rate is slow. In this paper a novel implementation scheme for LMS algorithm is simulated, which decreases the mean square error (MSE) and increases convergence speed. This proposed algorithm is called four stage LMS algorithm. Four stage LMS algorithm for beamforming is simulated using MATLAB and compared with existing LMS and dual stage LMS algorithm. From simulation results we infer that the convergence of proposed algorithm is better compared to LMS and dual stage LMS algorithms.